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<div class="content"><h1 id="BuildInfo">NCBI <a href="/Taxonomy/Browser/wwwtax.cgi?id=176946">Python bivittatus</a> Annotation Release 102</h1><p>The <a href="/refseq/about/">RefSeq </a>genome records for <a href="/Taxonomy/Browser/wwwtax.cgi?id=176946">Python bivittatus</a> were annotated by the <a href=" /genome/annotation_euk/process/">NCBI Eukaryotic
Genome Annotation Pipeline</a>, an automated pipeline that annotates genes, transcripts and proteins on draft and finished genome assemblies. This report
presents statistics on the annotation products, the input data used in the pipeline and
intermediate alignment results.</p><p>The annotation products are available in the sequence databases and on the <a href="https://ftp.ncbi.nlm.nih.gov/genomes/all/annotation_releases/176946/102"> FTP site.</a></p><p>This report provides: <ul><li><a href="#BuildInfo">Annotation Release information</a>: The name of the
release, important dates, the software version</li><li><a href="#AssembliesReport">Assemblies</a>: A brief description of the annotated
assembly(ies)</li><li><a href="#FeatureCountsStats">Gene and feature statistics</a>: The counts and
characteristics of the annotated features</li><li><a href="#ProteinCoverageStats">Alignment of the annotated proteins to a set of high-quality proteins</a>: The number of annotated proteins with hits to a set of high-quality proteins</li><li><a href="#MaskingPercentagesReport">Masking of genomic sequence</a>: How much of
the genome was masked</li><li><a href="#AlignmentStats">Transcript and protein alignments</a>: The number and
type of evidence retrieved from public databases and used for gene
prediction</li><li><a href="#AnnotationComparisonStats">Comparison of the current and
previous annotations</a>: What proportion of the genes changed in this annotation</li></ul></p><p>For more information on the annotation process, please visit the <a href="/genome/annotation_euk/process/">NCBI Eukaryotic
Genome Annotation Pipeline page</a>.</p><br /><h2>Annotation Release information</h2>This annotation should be referred to as NCBI <a href="/Taxonomy/Browser/wwwtax.cgi?id=176946">Python bivittatus</a> Annotation Release 102<p>Annotation release ID: 102<br />Date of Entrez queries for transcripts and proteins: May 16 2018<br />Date of submission of annotation to the public databases: May 24 2018<br />Software version: <a href="/genome/annotation_euk/release_notes/#version8.0">8.0</a><br /></p><h2 id="AssembliesReport">Assemblies</h2>The following assemblies were included in this annotation run:<table class="jig-ncbigrid zebra" summary="Assemblies in annotation run"><thead><tr><th>Assembly name</th><th>Assembly accession</th><th>Submitter</th><th>Assembly date</th><th>Reference/Alternate</th><th>Assembly content</th></tr></thead><tbody><tr><td>Python_molurus_bivittatus-5.0.2</td><td><a href="/assembly/GCF_000186305.1/" target="_blank">GCF_000186305.1</a></td><td>The Consortium for Comparative Genomics, UC Denver</td><td>09-15-2013</td><td>Reference</td><td>1 assembled chromosomes; unplaced scaffolds</td></tr></tbody></table><h2 id="FeatureCountsStats">Gene and feature statistics</h2>Counts and length of annotated features are provided below for each assembly.<h3>Feature counts</h3><table class="jig-ncbigrid zebra" summary="Feature counts" data-jigconfig="width:428"><thead><tr><th>Feature</th><th width="108" style="text-align:right">Python_molurus_bivittatus-5.0.2</th></tr></thead><tbody><tr><td><span data-jigconfig="destSelector: 'div#help div#genes', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Genes and pseudogenes <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">22,427</td></tr><tr><td>  protein-coding</td><td class="count">19,793</td></tr><tr><td>  non-coding</td><td class="count">2,089</td></tr><tr><td>  transcribed pseudogenes</td><td class="count">0</td></tr><tr><td>  non-transcribed pseudogenes</td><td class="count">455</td></tr><tr><td>  genes with variants</td><td class="count">6,319</td></tr><tr><td>  immunoglobulin/T-cell receptor gene segments</td><td class="count">90</td></tr><tr><td>  other</td><td class="count">0</td></tr><tr><td>mRNAs</td><td class="count">32,711</td></tr><tr><td>  fully-supported</td><td class="count">28,609</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#ab-initio', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with &gt; 5% ab initio <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">1,546</td></tr><tr><td>  partial</td><td class="count">3,003</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#filled_gap', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with filled gap(s) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">2</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#rs-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">known RefSeq (NM_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">9</td></tr><tr><td>  model RefSeq (XM_)</td><td class="count">32,702</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#non-coding-RNAs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">non-coding RNAs <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">3,198</td></tr><tr><td>  fully-supported</td><td class="count">2,664</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#ab-initio', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with &gt; 5% ab initio <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  partial</td><td class="count">4</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#filled_gap', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with filled gap(s) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#rs-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">known RefSeq (NR_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#non-coding-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">model RefSeq (XR_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">2,952</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#pseudo-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">pseudo transcripts <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  fully-supported</td><td class="count">0</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#ab-initio', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with &gt; 5% ab initio <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  partial</td><td class="count">0</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#filled_gap', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with filled gap(s) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#rs-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">known RefSeq (NR_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#pseudo-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">model RefSeq (XR_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">0</td></tr><tr><td>CDSs</td><td class="count">32,814</td></tr><tr><td>  fully-supported</td><td class="count">28,609</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#ab-initio', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with &gt; 5% ab initio <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">1,875</td></tr><tr><td>  partial</td><td class="count">3,023</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#major_correction', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">with major correction(s) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">340</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#protein-align-krs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">known RefSeq (NP_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">9</td></tr><tr><td>  <span data-jigconfig="destSelector: 'div#help div#protein-align-mrs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">model RefSeq (XP_) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">32,715</td></tr></tbody></table><h3>Detailed reports</h3>The counts below do not include pseudogenes.<div class="menu-tabs"><h4>Feature lengths</h4><div id="as1"><table class="jig-ncbigrid zebra" data-jigconfig="width: 850" summary="Feature lengths"><thead><tr><th>Feature</th><th width="100" style="text-align:right">Count</th><th width="100" style="text-align:right">Mean length (bp)</th><th width="100" style="text-align:right">Median length (bp)</th><th width="100" style="text-align:right">Min length (bp)</th><th width="100" style="text-align:right">Max length (bp)</th></tr></thead><tbody><tr><td>Genes</td><td class="count">21,882</td><td class="count">26,748</td><td class="count">14,835</td><td class="count">50</td><td class="count">533,031</td></tr><tr><td>All transcripts</td><td class="count">35,909</td><td class="count">2,924</td><td class="count">2,377</td><td class="count">50</td><td class="count">98,844</td></tr><tr><td>  mRNA</td><td class="count">32,711</td><td class="count">3,071</td><td class="count">2,509</td><td class="count">96</td><td class="count">98,844</td></tr><tr><td>  misc_RNA</td><td class="count">583</td><td class="count">2,710</td><td class="count">2,312</td><td class="count">81</td><td class="count">11,938</td></tr><tr><td>  tRNA</td><td class="count">244</td><td class="count">73</td><td class="count">73</td><td class="count">57</td><td class="count">84</td></tr><tr><td>  lncRNA</td><td class="count">2,082</td><td class="count">1,400</td><td class="count">892</td><td class="count">75</td><td class="count">12,259</td></tr><tr><td>  snoRNA</td><td class="count">180</td><td class="count">112</td><td class="count">102</td><td class="count">50</td><td class="count">319</td></tr><tr><td>  snRNA</td><td class="count">83</td><td class="count">134</td><td class="count">117</td><td class="count">61</td><td class="count">199</td></tr><tr><td>  guide_RNA</td><td class="count">15</td><td class="count">183</td><td class="count">137</td><td class="count">86</td><td class="count">370</td></tr><tr><td>  rRNA</td><td class="count">11</td><td class="count">320</td><td class="count">119</td><td class="count">119</td><td class="count">1,511</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#single-exon-transcripts', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Single-exon transcripts <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">1,134</td><td class="count">1,413</td><td class="count">957</td><td class="count">81</td><td class="count">13,088</td></tr><tr><td>   coding transcripts (NM_/XM_ )</td><td class="count">1,133</td><td class="count">1,414</td><td class="count">957</td><td class="count">96</td><td class="count">13,088</td></tr><tr><td>   non-coding transcripts (NR_/XR_ )</td><td class="count">1</td><td class="count">81</td><td class="count">81</td><td class="count">81</td><td class="count">81</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#CDSs_feat_count', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">CDSs <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">32,724</td><td class="count">1,769</td><td class="count">1,305</td><td class="count">96</td><td class="count">97,629</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#exons-all', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Exons <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">210,908</td><td class="count">292</td><td class="count">134</td><td class="count">1</td><td class="count">17,100</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#exons-coding', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">   in coding transcripts (NM_/XM_ ) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">204,115</td><td class="count">288</td><td class="count">134</td><td class="count">1</td><td class="count">17,100</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#exons-non-coding', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">   in non-coding transcripts (NR_/XR_ ) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">10,337</td><td class="count">332</td><td class="count">133</td><td class="count">2</td><td class="count">10,743</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#introns-all', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Introns <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">188,445</td><td class="count">3,233</td><td class="count">1,337</td><td class="count">30</td><td class="count">265,164</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#introns-coding', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">   in coding transcripts (NM_/XM_ ) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">183,614</td><td class="count">3,169</td><td class="count">1,326</td><td class="count">30</td><td class="count">265,164</td></tr><tr><td><span data-jigconfig="destSelector: 'div#help div#introns-non-coding', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">   in non-coding transcripts (NR_/XR_ ) <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">8,251</td><td class="count">4,392</td><td class="count">1,547</td><td class="count">51</td><td class="count">236,809</td></tr></tbody></table><h4>Transcripts per gene, exons per transcript</h4><table class="jig-ncbigrid zebra" data-jigconfig="width: 700" summary="Transcripts per gene, exons per transcript"><thead><tr><th></th><th width="100" style="text-align:right">Mean</th><th width="100" style="text-align:right">Median</th><th width="100" style="text-align:right">Min</th><th width="100" style="text-align:right">Max</th></tr></thead><tbody><tr><td>Number of transcripts per gene</td><td class="count">1.65</td><td class="count">1</td><td class="count">1</td><td class="count">34</td></tr><tr><td>Number of exons per transcript</td><td class="count">10.58</td><td class="count">8</td><td class="count">1</td><td class="count">294</td></tr></tbody></table></div></div><h2 id="ProteinCoverageStats">Alignment of the annotated proteins to a set of high-quality proteins</h2>The final set of annotated proteins was searched with BLASTP against the UniProtKB/Swiss-Prot curated proteins, using the annotated proteins as the query and the high-quality proteins as the target. Out of 19793 coding genes, 19217 genes had a protein with an alignment covering 50% or more of the query and 11782 had an alignment covering 95% or more of the query. <br /><p><b>Definition of query and target coverage.</b> The query coverage is the percentage of the annotated protein length that is included in the alignment. The target coverage is the percentage of the target length that is included in the alignment.</p><a class="align-coverage-explain"></a><p>Below is a cumulative graph displaying the number of genes with alignments above a given query or target coverage threshold. 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</script><h2 id="MaskingPercentagesReport">Masking of genomic sequence</h2><p>Transcript and protein alignments are performed on the repeat-masked genome. Below are
the percentages of genomic sequence masked by <a href="/pubmed/16287941">WindowMasker</a> and <a href="http://www.repeatmasker.org/">RepeatMasker</a> for each assembly. RepeatMasker
results are only used for organisms for which a comprehensive repeat library is
available.</p>For this annotation run, transcripts and proteins were aligned to the genome masked with WindowMasker only.<table class="jig-ncbigrid zebra" data-jigconfig="width: 600" summary="Masking percentages per assembly"><thead><tr><th>Assembly name</th><th width="150">Assembly accession</th><th width="150" style="text-align:center">% Masked with RepeatMasker</th><th width="150" style="text-align:center">% Masked with WindowMasker</th></tr></thead><tbody><tr><td>Python_molurus_bivittatus-5.0.2</td><td>GCF_000186305.1</td><td style="text-align:center">3.07%</td><td style="text-align:center">24.87%</td></tr></tbody></table><h2 id="AlignmentStats">Transcript and protein alignments</h2><p>The annotation pipeline relies heavily on alignments of experimental evidence for
gene prediction. Below are the sets of transcripts and proteins that were retrieved
from Entrez, aligned to the genome by <a href="/sutils/splign/splign.cgi?textpage=documentation">Splign</a> or <a href="/sutils/static/prosplign/prosplign.html">ProSplign</a> and passed to <a href="/genome/guide/gnomon.shtml">Gnomon</a>, NCBI's
gene prediction software.</p><p>Depending on the other evidence available, long 454 reads (with average length above
250 nt) may be aligned as traditional evidence and reported in the <a href="#TranscriptAlignmentStats">Transcript alignments</a> section or aligned
with RNA-Seq reads and reported in the <a href="#RnaseqAlignReport">RNA-Seq
alignments</a> section.</p><h3 id="TranscriptAlignmentStats">Transcript alignments</h3><div class="menu-tabs"><div id="asa1"><table class="jig-ncbigrid zebra" summary="Alignment statistics" data-jigconfig="columnTypes:['str', 'str', 'num', 'num', 'num', 'num', 'num'], width:800"><thead><tr><th>Source</th><th width="150" style="text-align:center">Number of sequences retrieved from
Entrez</th><th width="150" style="text-align:center">Number (%) of sequences aligned by Splign</th><th width="150" style="text-align:center">Number (%) of sequences passed to
Gnomon</th><th width="100" style="text-align:center">Average % identity</th><th width="100" style="text-align:center">Average % coverage</th></tr></thead><tbody><tr><td>Same-species<br />known RefSeq (NM_/NR_)</td><td class="count">9</td><td class="count">9 (100.00%)</td><td class="count">7 (77.78%)</td><td class="count">99.57%</td><td class="count">98.14%</td></tr><tr><td>Same-species<br />Genbank</td><td class="count">22</td><td class="count">22 (100.00%)</td><td class="count">20 (90.91%)</td><td class="count">99.65%</td><td class="count">93.40%</td></tr></tbody></table></div></div><h3 id="RnaseqAlignReport">RNA-Seq alignments</h3><p>The following RNA-Seq reads from the <a href="/sra/">Sequence Read Archive</a> were also used for gene prediction:</p><a class="jig-ncbitoggler" href="#sras-toggler" data-jigconfig="initOpen:true, openedAppendText:' Hide alignments statistics, by sample (SAME, SAMN, SAMD, DRS)', closedAppendText:' Show alignments statistics, by sample (SAME, SAMN, SAMD, DRS)' "> <span class="ui-ncbitoggler-appended-text"> Hide alignments statistics, by sample (SAME, SAMN, SAMD, DRS)</span></a><div class="ui-widget" id="sras-toggler"><div class="menu-tabs"><div id="aus1"><table class="jig-ncbigrid zebra" data-jigconfig="isSortable:true, columnTypes:['str', 'str', 'numComma', 'numComma', 'numComma', 'numComma']" summary="Short read transcript alignment statistics by sample"><thead><tr><th>Sample Id</th><th>Track name</th><th style="text-align:center">Number of reads</th><th style="text-align:center">Percent aligned reads</th><th style="text-align:center">Percent of aligned reads with introns</th><th style="text-align:center">Number of introns</th></tr></thead><tbody><tr><td>All</td><td>Aggregate of all aligned samples</td><td class="count">1,079,112,827</td><td class="count">73%</td><td class="count">24%</td><td class="count">226,927</td></tr><tr><td><a href="/biosample/?term=SAMN03263920">SAMN03263920</a></td><td>cross-section of small intestine, 0 hrs post fed (Python bivittatus, SAMN03263920)</td><td class="count">4,826,631</td><td class="count">67%</td><td class="count">28%</td><td class="count">30,507</td></tr><tr><td><a href="/biosample/?term=SAMN03263922">SAMN03263922</a></td><td>cross-section of small intestine, 0 hrs post fed (Python bivittatus, SAMN03263922)</td><td class="count">1,082,950</td><td class="count">53%</td><td class="count">28%</td><td class="count">34,853</td></tr><tr><td><a href="/biosample/?term=SAMN03263934">SAMN03263934</a></td><td>cross-section of small intestine, 24 hrs post fed (Python bivittatus, SAMN03263934)</td><td class="count">4,205,468</td><td class="count">64%</td><td class="count">26%</td><td class="count">44,331</td></tr><tr><td><a href="/biosample/?term=SAMN03263939">SAMN03263939</a></td><td>cross-section of small intestine, 96 hrs post fed (Python bivittatus, SAMN03263939)</td><td class="count">1,539,651</td><td class="count">56%</td><td class="count">24%</td><td class="count">30,608</td></tr><tr><td><a href="/biosample/?term=SAMN03263940">SAMN03263940</a></td><td>cross-section of small intestine, 96 hrs post fed (Python bivittatus, SAMN03263940)</td><td class="count">3,898,008</td><td class="count">47%</td><td class="count">22%</td><td class="count">48,146</td></tr><tr><td><a href="/biosample/?term=SAMN03263941">SAMN03263941</a></td><td>cross-section of small intestine, 96 hrs post fed (Python bivittatus, SAMN03263941)</td><td class="count">1,236,788</td><td class="count">31%</td><td class="count">22%</td><td class="count">17,825</td></tr><tr><td><a href="/biosample/?term=SAMN05792570">SAMN05792570</a></td><td>Heart (Python bivittatus, SAMN05792570)</td><td class="count">18,026,042</td><td class="count">70%</td><td class="count">28%</td><td class="count">131,824</td></tr><tr><td><a href="/biosample/?term=SAMN05792571">SAMN05792571</a></td><td>Heart (Python bivittatus, SAMN05792571)</td><td class="count">17,749,942</td><td class="count">66%</td><td class="count">26%</td><td class="count">124,019</td></tr><tr><td><a href="/biosample/?term=SAMN05792572">SAMN05792572</a></td><td>Heart (Python bivittatus, SAMN05792572)</td><td class="count">30,172,988</td><td class="count">67%</td><td class="count">28%</td><td class="count">145,724</td></tr><tr><td><a href="/biosample/?term=SAMN05792573">SAMN05792573</a></td><td>Liver (Python bivittatus, SAMN05792573)</td><td class="count">19,327,920</td><td class="count">79%</td><td class="count">32%</td><td class="count">115,488</td></tr><tr><td><a href="/biosample/?term=SAMN05792574">SAMN05792574</a></td><td>Liver (Python bivittatus, SAMN05792574)</td><td class="count">22,015,132</td><td class="count">75%</td><td class="count">31%</td><td class="count">111,022</td></tr><tr><td><a href="/biosample/?term=SAMN05792575">SAMN05792575</a></td><td>Liver (Python bivittatus, SAMN05792575)</td><td class="count">18,327,842</td><td class="count">80%</td><td class="count">31%</td><td class="count">111,478</td></tr><tr><td><a href="/biosample/?term=SAMN05792576">SAMN05792576</a></td><td>Intestine (Python bivittatus, SAMN05792576)</td><td class="count">21,144,500</td><td class="count">81%</td><td class="count">33%</td><td class="count">128,257</td></tr><tr><td><a href="/biosample/?term=SAMN05792577">SAMN05792577</a></td><td>Intestine (Python bivittatus, SAMN05792577)</td><td class="count">30,076,082</td><td class="count">82%</td><td class="count">29%</td><td class="count">132,802</td></tr><tr><td><a href="/biosample/?term=SAMN05792578">SAMN05792578</a></td><td>Intestine (Python bivittatus, SAMN05792578)</td><td class="count">18,785,808</td><td class="count">81%</td><td class="count">28%</td><td class="count">129,443</td></tr><tr><td><a href="/biosample/?term=SAMN05792579">SAMN05792579</a></td><td>Stomach (Python bivittatus, SAMN05792579)</td><td class="count">19,390,972</td><td class="count">69%</td><td class="count">31%</td><td class="count">126,585</td></tr><tr><td><a href="/biosample/?term=SAMN05792580">SAMN05792580</a></td><td>Stomach (Python bivittatus, SAMN05792580)</td><td class="count">18,690,666</td><td class="count">77%</td><td class="count">32%</td><td class="count">132,430</td></tr><tr><td><a href="/biosample/?term=SAMN05792581">SAMN05792581</a></td><td>Stomach (Python bivittatus, SAMN05792581)</td><td class="count">26,284,434</td><td class="count">75%</td><td class="count">28%</td><td class="count">134,405</td></tr><tr><td><a href="/biosample/?term=SAMN05792582">SAMN05792582</a></td><td>Pancreas (Python bivittatus, SAMN05792582)</td><td class="count">20,277,016</td><td class="count">89%</td><td class="count">41%</td><td class="count">96,409</td></tr><tr><td><a href="/biosample/?term=SAMN05792583">SAMN05792583</a></td><td>Pancreas (Python bivittatus, SAMN05792583)</td><td class="count">21,937,940</td><td class="count">88%</td><td class="count">34%</td><td class="count">81,545</td></tr><tr><td><a href="/biosample/?term=SAMN05792584">SAMN05792584</a></td><td>Pancreas (Python bivittatus, SAMN05792584)</td><td class="count">21,524,266</td><td class="count">89%</td><td class="count">38%</td><td class="count">106,313</td></tr><tr><td><a href="/biosample/?term=SAMN05792856">SAMN05792856</a></td><td>Heart (Python bivittatus, SAMN05792856)</td><td class="count">24,718,134</td><td class="count">87%</td><td class="count">26%</td><td class="count">149,807</td></tr><tr><td><a href="/biosample/?term=SAMN05792857">SAMN05792857</a></td><td>Liver (Python bivittatus, SAMN05792857)</td><td class="count">20,041,308</td><td class="count">87%</td><td class="count">31%</td><td class="count">128,449</td></tr><tr><td><a href="/biosample/?term=SAMN05792858">SAMN05792858</a></td><td>Stomach (Python bivittatus, SAMN05792858)</td><td class="count">23,367,682</td><td class="count">85%</td><td class="count">30%</td><td class="count">150,128</td></tr><tr><td><a href="/biosample/?term=SAMN05792859">SAMN05792859</a></td><td>Intestine (Python bivittatus, SAMN05792859)</td><td class="count">23,742,066</td><td class="count">88%</td><td class="count">31%</td><td class="count">141,988</td></tr><tr><td><a href="/biosample/?term=SAMN05792860">SAMN05792860</a></td><td>Pancreas (Python bivittatus, SAMN05792860)</td><td class="count">19,054,532</td><td class="count">84%</td><td class="count">28%</td><td class="count">130,162</td></tr><tr><td><a href="/biosample/?term=SAMN05792861">SAMN05792861</a></td><td>Heart (Python bivittatus, SAMN05792861)</td><td class="count">21,372,618</td><td class="count">87%</td><td class="count">24%</td><td class="count">149,032</td></tr><tr><td><a href="/biosample/?term=SAMN05792862">SAMN05792862</a></td><td>Liver (Python bivittatus, SAMN05792862)</td><td class="count">25,216,310</td><td class="count">88%</td><td class="count">27%</td><td class="count">140,537</td></tr><tr><td><a href="/biosample/?term=SAMN05792863">SAMN05792863</a></td><td>Stomach (Python bivittatus, SAMN05792863)</td><td class="count">26,148,614</td><td class="count">89%</td><td class="count">25%</td><td class="count">158,063</td></tr><tr><td><a href="/biosample/?term=SAMN05792864">SAMN05792864</a></td><td>Intestine (Python bivittatus, SAMN05792864)</td><td class="count">25,079,996</td><td class="count">89%</td><td class="count">27%</td><td class="count">146,696</td></tr><tr><td><a href="/biosample/?term=SAMN05792865">SAMN05792865</a></td><td>Pancreas (Python bivittatus, SAMN05792865)</td><td class="count">23,484,678</td><td class="count">85%</td><td class="count">24%</td><td class="count">139,887</td></tr><tr><td><a href="/biosample/?term=SAMN06238948">SAMN06238948</a></td><td>Heart from isolate AI11 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238948)</td><td class="count">1,115,236</td><td class="count">62%</td><td class="count">16%</td><td class="count">25,884</td></tr><tr><td><a href="/biosample/?term=SAMN06238949">SAMN06238949</a></td><td>Heart from isolate AI6 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238949)</td><td class="count">2,077,844</td><td class="count">61%</td><td class="count">19%</td><td class="count">52,089</td></tr><tr><td><a href="/biosample/?term=SAMN06238951">SAMN06238951</a></td><td>Heart from isolate AJ6 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238951)</td><td class="count">1,057,598</td><td class="count">69%</td><td class="count">14%</td><td class="count">28,472</td></tr><tr><td><a href="/biosample/?term=SAMN06238952">SAMN06238952</a></td><td>Heart from isolate U25 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238952)</td><td class="count">9,874,726</td><td class="count">42%</td><td class="count">3%</td><td class="count">29,479</td></tr><tr><td><a href="/biosample/?term=SAMN06238953">SAMN06238953</a></td><td>Heart from isolate Z12 at 24 hours post fed. (Python bivittatus, SAMN06238953)</td><td class="count">1,307,135</td><td class="count">51%</td><td class="count">9%</td><td class="count">20,366</td></tr><tr><td><a href="/biosample/?term=SAMN06238954">SAMN06238954</a></td><td>Heart from isolate Z14 at 24 hours post fed. (Python bivittatus, SAMN06238954)</td><td class="count">4,427,749</td><td class="count">41%</td><td class="count">19%</td><td class="count">21,287</td></tr><tr><td><a href="/biosample/?term=SAMN06238955">SAMN06238955</a></td><td>Heart from isolate Z18 at 24 hours post fed. (Python bivittatus, SAMN06238955)</td><td class="count">3,473,792</td><td class="count">21%</td><td class="count">15%</td><td class="count">23,646</td></tr><tr><td><a href="/biosample/?term=SAMN06238956">SAMN06238956</a></td><td>Heart from isolate Y5 at 96 hours post fed. (Python bivittatus, SAMN06238956)</td><td class="count">2,163,949</td><td class="count">55%</td><td class="count">19%</td><td class="count">42,994</td></tr><tr><td><a href="/biosample/?term=SAMN06238957">SAMN06238957</a></td><td>Heart from isolate Y18 at 96 hours post fed. (Python bivittatus, SAMN06238957)</td><td class="count">975,635</td><td class="count">62%</td><td class="count">14%</td><td class="count">25,246</td></tr><tr><td><a href="/biosample/?term=SAMN06238958">SAMN06238958</a></td><td>Heart from isolate Y23 at 96 hours post fed. (Python bivittatus, SAMN06238958)</td><td class="count">1,093,780</td><td class="count">67%</td><td class="count">15%</td><td class="count">25,867</td></tr><tr><td><a href="/biosample/?term=SAMN06238959">SAMN06238959</a></td><td>Heart from isolate Y24 at 96 hours post fed. (Python bivittatus, SAMN06238959)</td><td class="count">6,792,842</td><td class="count">44%</td><td class="count">4%</td><td class="count">26,675</td></tr><tr><td><a href="/biosample/?term=SAMN06238960">SAMN06238960</a></td><td>Kidney from isolate AI11 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238960)</td><td class="count">4,025,320</td><td class="count">54%</td><td class="count">27%</td><td class="count">39,231</td></tr><tr><td><a href="/biosample/?term=SAMN06238961">SAMN06238961</a></td><td>Kidney from isolate AI6 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238961)</td><td class="count">273,902</td><td class="count">65%</td><td class="count">30%</td><td class="count">17,947</td></tr><tr><td><a href="/biosample/?term=SAMN06238963">SAMN06238963</a></td><td>Kidney from isolate AJ6 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238963)</td><td class="count">3,677,133</td><td class="count">58%</td><td class="count">26%</td><td class="count">34,252</td></tr><tr><td><a href="/biosample/?term=SAMN06238964">SAMN06238964</a></td><td>Kidney from isolate U25 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06238964)</td><td class="count">7,394,272</td><td class="count">41%</td><td class="count">3%</td><td class="count">21,396</td></tr><tr><td><a href="/biosample/?term=SAMN06238965">SAMN06238965</a></td><td>Kidney from isolate Z12 at 24 hours post fed. (Python bivittatus, SAMN06238965)</td><td class="count">1,419,248</td><td class="count">63%</td><td class="count">31%</td><td class="count">40,301</td></tr><tr><td><a href="/biosample/?term=SAMN06238967">SAMN06238967</a></td><td>Kidney from isolate Z18 at 24 hours post fed. (Python bivittatus, SAMN06238967)</td><td class="count">3,299,304</td><td class="count">32%</td><td class="count">25%</td><td class="count">23,537</td></tr><tr><td><a href="/biosample/?term=SAMN06238968">SAMN06238968</a></td><td>Kidney from isolate V43 at 24 hours post fed. (Python bivittatus, SAMN06238968)</td><td class="count">10,058,002</td><td class="count">46%</td><td class="count">3%</td><td class="count">27,512</td></tr><tr><td><a href="/biosample/?term=SAMN06238969">SAMN06238969</a></td><td>Kidney from isolate Y5 at 96 hours post fed. (Python bivittatus, SAMN06238969)</td><td class="count">3,012,339</td><td class="count">56%</td><td class="count">24%</td><td class="count">22,847</td></tr><tr><td><a href="/biosample/?term=SAMN06238970">SAMN06238970</a></td><td>Kidney from isolate Y18 at 96 hours post fed. (Python bivittatus, SAMN06238970)</td><td class="count">70,503</td><td class="count">41%</td><td class="count">26%</td><td class="count">998</td></tr><tr><td><a href="/biosample/?term=SAMN06238977">SAMN06238977</a></td><td>Liver from isolate Z12 at 24 hours post fed. (Python bivittatus, SAMN06238977)</td><td class="count">5,839,466</td><td class="count">32%</td><td class="count">20%</td><td class="count">29,529</td></tr><tr><td><a href="/biosample/?term=SAMN06238980">SAMN06238980</a></td><td>Liver from isolate Y5 at 96 hours post fed. (Python bivittatus, SAMN06238980)</td><td class="count">2,057,648</td><td class="count">53%</td><td class="count">17%</td><td class="count">25,659</td></tr><tr><td><a href="/biosample/?term=SAMN06238983">SAMN06238983</a></td><td>Liver from isolate Y24 at 96 hours post fed. (Python bivittatus, SAMN06238983)</td><td class="count">9,522,887</td><td class="count">52%</td><td class="count">3%</td><td class="count">22,729</td></tr><tr><td><a href="/biosample/?term=SAMN06238984">SAMN06238984</a></td><td>Cross-section of small intestine from isolate Z12 at 24 hours post fed. (Python bivittatus, SAMN06238984)</td><td class="count">1,046,308</td><td class="count">67%</td><td class="count">22%</td><td class="count">39,481</td></tr><tr><td><a href="/biosample/?term=SAMN06240093">SAMN06240093</a></td><td>Liver from isolate AI6 at 0 hours post fed (i.e., fasted). (Python bivittatus, SAMN06240093)</td><td class="count">2,430,567</td><td class="count">47%</td><td class="count">20%</td><td class="count">31,300</td></tr><tr><td><a href="/biosample/?term=SAMN06704747">SAMN06704747</a></td><td>Python bivittatus isolate Pymo208 (Python bivittatus, SAMN06704747)</td><td class="count">42,644,522</td><td class="count">62%</td><td class="count">11%</td><td class="count">111,301</td></tr><tr><td><a href="/biosample/?term=SAMN06704778">SAMN06704778</a></td><td>Python bivittatus isolate Pymo209 (Python bivittatus, SAMN06704778)</td><td class="count">42,349,982</td><td class="count">67%</td><td class="count">13%</td><td class="count">123,270</td></tr><tr><td><a href="/biosample/?term=SAMN06704780">SAMN06704780</a></td><td>Python bivittatus isolate Pymo210 (Python bivittatus, SAMN06704780)</td><td class="count">38,129,806</td><td class="count">67%</td><td class="count">16%</td><td class="count">127,430</td></tr><tr><td><a href="/biosample/?term=SAMN06704781">SAMN06704781</a></td><td>Python bivittatus isolate Pymo213 (Python bivittatus, SAMN06704781)</td><td class="count">41,074,202</td><td class="count">69%</td><td class="count">16%</td><td class="count">131,930</td></tr><tr><td><a href="/biosample/?term=SAMN06704782">SAMN06704782</a></td><td>Python bivittatus isolate Pymo215 (Python bivittatus, SAMN06704782)</td><td class="count">41,026,632</td><td class="count">73%</td><td class="count">16%</td><td class="count">131,520</td></tr><tr><td><a href="/biosample/?term=SAMN06704784">SAMN06704784</a></td><td>Python bivittatus isolate Pymo216 (Python bivittatus, SAMN06704784)</td><td class="count">40,773,334</td><td class="count">70%</td><td class="count">17%</td><td class="count">133,401</td></tr><tr><td><a href="/biosample/?term=SAMN06704787">SAMN06704787</a></td><td>Python bivittatus isolate Pymo218 (Python bivittatus, SAMN06704787)</td><td class="count">47,676,104</td><td class="count">70%</td><td class="count">16%</td><td class="count">129,762</td></tr><tr><td><a href="/biosample/?term=SAMN06704788">SAMN06704788</a></td><td>Python bivittatus isolate Pymo219 (Python bivittatus, SAMN06704788)</td><td class="count">39,746,974</td><td class="count">69%</td><td class="count">16%</td><td class="count">133,312</td></tr><tr><td><a href="/biosample/?term=SAMN08137146">SAMN08137146</a></td><td>MIGS Eukaryotic sample from Python bivittatus (Python bivittatus, SAMN08137146)</td><td class="count">40,512,040</td><td class="count">67%</td><td class="count">17%</td><td class="count">127,007</td></tr><tr><td><a href="/biosample/?term=SAMN08137147">SAMN08137147</a></td><td>MIGS Eukaryotic sample from Python bivittatus (Python bivittatus, SAMN08137147)</td><td class="count">43,945,062</td><td class="count">70%</td><td class="count">16%</td><td class="count">134,085</td></tr></tbody></table></div></div></div><a class="jig-ncbitoggler" href="#srar-toggler" data-jigconfig="initOpen:false, openedAppendText:' Hide alignments statistics, by run (ERR, SRR, DRR)', closedAppendText:' Show alignments statistics, by run (ERR, SRR, DRR)' "> <span class="ui-ncbitoggler-appended-text"> Show alignments statistics, by run (ERR, SRR, DRR)</span></a><div class="ui-widget" id="srar-toggler"><div class="menu-tabs"><div id="aur1"><table class="jig-ncbigrid zebra" data-jigconfig="isSortable:true, columnTypes:['str', 'str', 'str', 'str', 'numComma', 'numComma', 'numComma'], isPresorted: true" summary="Short read transcript alignment statistics by run"><thead><tr><th>Run</th><th>Experiment</th><th>Project</th><th>Sample</th><th style="text-align:center">Number of reads</th><th style="text-align:center">Percent aligned reads</th><th style="text-align:center">Percent of aligned reads with introns</th></tr></thead><tbody><tr><td><a href="/Traces/sra/?run=SRR1746792">SRR1746792</a></td><td><a href="/sra/SRX834419">SRX834419</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263920">SAMN03263920</a></td><td class="count">2,155,168</td><td class="count">63%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746793">SRR1746793</a></td><td><a href="/sra/SRX834420">SRX834420</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263920">SAMN03263920</a></td><td class="count">2,671,463</td><td class="count">70%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746796">SRR1746796</a></td><td><a href="/sra/SRX834423">SRX834423</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263922">SAMN03263922</a></td><td class="count">1,082,950</td><td class="count">53%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746813">SRR1746813</a></td><td><a href="/sra/SRX834440">SRX834440</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263934">SAMN03263934</a></td><td class="count">1,766,164</td><td class="count">62%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746814">SRR1746814</a></td><td><a href="/sra/SRX834441">SRX834441</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263934">SAMN03263934</a></td><td class="count">2,439,304</td><td class="count">66%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746823">SRR1746823</a></td><td><a href="/sra/SRX834450">SRX834450</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263939">SAMN03263939</a></td><td class="count">1,539,651</td><td class="count">56%</td><td class="count">24%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746825">SRR1746825</a></td><td><a href="/sra/SRX834452">SRX834452</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263940">SAMN03263940</a></td><td class="count">1,461,172</td><td class="count">47%</td><td class="count">22%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746826">SRR1746826</a></td><td><a href="/sra/SRX834453">SRX834453</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263940">SAMN03263940</a></td><td class="count">2,436,836</td><td class="count">47%</td><td class="count">22%</td></tr><tr><td><a href="/Traces/sra/?run=SRR1746828">SRR1746828</a></td><td><a href="/sra/SRX834455">SRX834455</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN03263941">SAMN03263941</a></td><td class="count">1,236,788</td><td class="count">31%</td><td class="count">22%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190735">SRR5190735</a></td><td><a href="/sra/SRX2506492">SRX2506492</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238948">SAMN06238948</a></td><td class="count">1,115,236</td><td class="count">62%</td><td class="count">16%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190733">SRR5190733</a></td><td><a href="/sra/SRX2506490">SRX2506490</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238949">SAMN06238949</a></td><td class="count">1,044,057</td><td class="count">58%</td><td class="count">24%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190734">SRR5190734</a></td><td><a href="/sra/SRX2506491">SRX2506491</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238949">SAMN06238949</a></td><td class="count">1,033,787</td><td class="count">64%</td><td class="count">14%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190731">SRR5190731</a></td><td><a href="/sra/SRX2506488">SRX2506488</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238951">SAMN06238951</a></td><td class="count">1,057,598</td><td class="count">69%</td><td class="count">14%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190730">SRR5190730</a></td><td><a href="/sra/SRX2506487">SRX2506487</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238952">SAMN06238952</a></td><td class="count">9,874,726</td><td class="count">42%</td><td class="count">3%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190729">SRR5190729</a></td><td><a href="/sra/SRX2506486">SRX2506486</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238953">SAMN06238953</a></td><td class="count">1,307,135</td><td class="count">51%</td><td class="count">9%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190727">SRR5190727</a></td><td><a href="/sra/SRX2506484">SRX2506484</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238954">SAMN06238954</a></td><td class="count">2,534,292</td><td class="count">36%</td><td class="count">23%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190728">SRR5190728</a></td><td><a href="/sra/SRX2506485">SRX2506485</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238954">SAMN06238954</a></td><td class="count">1,893,457</td><td class="count">46%</td><td class="count">15%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190726">SRR5190726</a></td><td><a href="/sra/SRX2506483">SRX2506483</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238955">SAMN06238955</a></td><td class="count">3,473,792</td><td class="count">21%</td><td class="count">15%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190724">SRR5190724</a></td><td><a href="/sra/SRX2506481">SRX2506481</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238956">SAMN06238956</a></td><td class="count">1,086,580</td><td class="count">53%</td><td class="count">23%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190725">SRR5190725</a></td><td><a href="/sra/SRX2506482">SRX2506482</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238956">SAMN06238956</a></td><td class="count">1,077,369</td><td class="count">58%</td><td class="count">14%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190723">SRR5190723</a></td><td><a href="/sra/SRX2506480">SRX2506480</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238957">SAMN06238957</a></td><td class="count">975,635</td><td class="count">62%</td><td class="count">14%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190722">SRR5190722</a></td><td><a href="/sra/SRX2506479">SRX2506479</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238958">SAMN06238958</a></td><td class="count">1,093,780</td><td class="count">67%</td><td class="count">15%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190721">SRR5190721</a></td><td><a href="/sra/SRX2506478">SRX2506478</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238959">SAMN06238959</a></td><td class="count">6,792,842</td><td class="count">44%</td><td class="count">4%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190719">SRR5190719</a></td><td><a href="/sra/SRX2506476">SRX2506476</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238960">SAMN06238960</a></td><td class="count">4,025,320</td><td class="count">54%</td><td class="count">27%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190717">SRR5190717</a></td><td><a href="/sra/SRX2506474">SRX2506474</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238961">SAMN06238961</a></td><td class="count">273,902</td><td class="count">65%</td><td class="count">30%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190713">SRR5190713</a></td><td><a href="/sra/SRX2506470">SRX2506470</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238963">SAMN06238963</a></td><td class="count">1,441,416</td><td class="count">61%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190714">SRR5190714</a></td><td><a href="/sra/SRX2506471">SRX2506471</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238963">SAMN06238963</a></td><td class="count">2,235,717</td><td class="count">57%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190712">SRR5190712</a></td><td><a href="/sra/SRX2506469">SRX2506469</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238964">SAMN06238964</a></td><td class="count">7,394,272</td><td class="count">41%</td><td class="count">3%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190710">SRR5190710</a></td><td><a href="/sra/SRX2506467">SRX2506467</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238965">SAMN06238965</a></td><td class="count">1,419,248</td><td class="count">63%</td><td class="count">31%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190704">SRR5190704</a></td><td><a href="/sra/SRX2506461">SRX2506461</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238967">SAMN06238967</a></td><td class="count">2,046,898</td><td class="count">33%</td><td class="count">24%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190705">SRR5190705</a></td><td><a href="/sra/SRX2506462">SRX2506462</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238967">SAMN06238967</a></td><td class="count">1,252,406</td><td class="count">31%</td><td class="count">25%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190703">SRR5190703</a></td><td><a href="/sra/SRX2506460">SRX2506460</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238968">SAMN06238968</a></td><td class="count">10,058,002</td><td class="count">46%</td><td class="count">3%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190700">SRR5190700</a></td><td><a href="/sra/SRX2506457">SRX2506457</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238969">SAMN06238969</a></td><td class="count">1,722,260</td><td class="count">58%</td><td class="count">24%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190701">SRR5190701</a></td><td><a href="/sra/SRX2506458">SRX2506458</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238969">SAMN06238969</a></td><td class="count">1,290,079</td><td class="count">53%</td><td class="count">23%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190697">SRR5190697</a></td><td><a href="/sra/SRX2506454">SRX2506454</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238970">SAMN06238970</a></td><td class="count">70,503</td><td class="count">41%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190686">SRR5190686</a></td><td><a href="/sra/SRX2506443">SRX2506443</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238977">SAMN06238977</a></td><td class="count">3,144,654</td><td class="count">27%</td><td class="count">25%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190687">SRR5190687</a></td><td><a href="/sra/SRX2506444">SRX2506444</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238977">SAMN06238977</a></td><td class="count">2,694,812</td><td class="count">37%</td><td class="count">15%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190682">SRR5190682</a></td><td><a href="/sra/SRX2506439">SRX2506439</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238980">SAMN06238980</a></td><td class="count">833,522</td><td class="count">51%</td><td class="count">22%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190683">SRR5190683</a></td><td><a href="/sra/SRX2506440">SRX2506440</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238980">SAMN06238980</a></td><td class="count">1,224,126</td><td class="count">54%</td><td class="count">13%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190679">SRR5190679</a></td><td><a href="/sra/SRX2506436">SRX2506436</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238983">SAMN06238983</a></td><td class="count">9,522,887</td><td class="count">52%</td><td class="count">3%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190677">SRR5190677</a></td><td><a href="/sra/SRX2506434">SRX2506434</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06238984">SAMN06238984</a></td><td class="count">1,046,308</td><td class="count">67%</td><td class="count">22%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190691">SRR5190691</a></td><td><a href="/sra/SRX2506448">SRX2506448</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06240093">SAMN06240093</a></td><td class="count">1,303,882</td><td class="count">44%</td><td class="count">25%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5190692">SRR5190692</a></td><td><a href="/sra/SRX2506449">SRX2506449</a></td><td><a href="/sra/SRP051827">SRP051827</a></td><td><a href="/biosample/?term=SAMN06240093">SAMN06240093</a></td><td class="count">1,126,685</td><td class="count">51%</td><td class="count">15%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280472">SRR4280472</a></td><td><a href="/sra/SRX2182147">SRX2182147</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792570">SAMN05792570</a></td><td class="count">18,026,042</td><td class="count">70%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280492">SRR4280492</a></td><td><a href="/sra/SRX2182167">SRX2182167</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792571">SAMN05792571</a></td><td class="count">17,749,942</td><td class="count">66%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280474">SRR4280474</a></td><td><a href="/sra/SRX2182149">SRX2182149</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792572">SAMN05792572</a></td><td class="count">30,172,988</td><td class="count">67%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280473">SRR4280473</a></td><td><a href="/sra/SRX2182148">SRX2182148</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792573">SAMN05792573</a></td><td class="count">19,327,920</td><td class="count">79%</td><td class="count">32%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280493">SRR4280493</a></td><td><a href="/sra/SRX2182168">SRX2182168</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792574">SAMN05792574</a></td><td class="count">22,015,132</td><td class="count">75%</td><td class="count">31%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280475">SRR4280475</a></td><td><a href="/sra/SRX2182150">SRX2182150</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792575">SAMN05792575</a></td><td class="count">18,327,842</td><td class="count">80%</td><td class="count">31%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280490">SRR4280490</a></td><td><a href="/sra/SRX2182165">SRX2182165</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792576">SAMN05792576</a></td><td class="count">21,144,500</td><td class="count">81%</td><td class="count">33%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280495">SRR4280495</a></td><td><a href="/sra/SRX2182170">SRX2182170</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792577">SAMN05792577</a></td><td class="count">30,076,082</td><td class="count">82%</td><td class="count">29%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280477">SRR4280477</a></td><td><a href="/sra/SRX2182152">SRX2182152</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792578">SAMN05792578</a></td><td class="count">18,785,808</td><td class="count">81%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280484">SRR4280484</a></td><td><a href="/sra/SRX2182159">SRX2182159</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792579">SAMN05792579</a></td><td class="count">19,390,972</td><td class="count">69%</td><td class="count">31%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280494">SRR4280494</a></td><td><a href="/sra/SRX2182169">SRX2182169</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792580">SAMN05792580</a></td><td class="count">18,690,666</td><td class="count">77%</td><td class="count">32%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280476">SRR4280476</a></td><td><a href="/sra/SRX2182151">SRX2182151</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792581">SAMN05792581</a></td><td class="count">26,284,434</td><td class="count">75%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280491">SRR4280491</a></td><td><a href="/sra/SRX2182166">SRX2182166</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792582">SAMN05792582</a></td><td class="count">20,277,016</td><td class="count">89%</td><td class="count">41%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280496">SRR4280496</a></td><td><a href="/sra/SRX2182171">SRX2182171</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792583">SAMN05792583</a></td><td class="count">21,937,940</td><td class="count">88%</td><td class="count">34%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280478">SRR4280478</a></td><td><a href="/sra/SRX2182153">SRX2182153</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792584">SAMN05792584</a></td><td class="count">21,524,266</td><td class="count">89%</td><td class="count">38%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280479">SRR4280479</a></td><td><a href="/sra/SRX2182154">SRX2182154</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792856">SAMN05792856</a></td><td class="count">24,718,134</td><td class="count">87%</td><td class="count">26%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280480">SRR4280480</a></td><td><a href="/sra/SRX2182155">SRX2182155</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792857">SAMN05792857</a></td><td class="count">20,041,308</td><td class="count">87%</td><td class="count">31%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280481">SRR4280481</a></td><td><a href="/sra/SRX2182156">SRX2182156</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792858">SAMN05792858</a></td><td class="count">23,367,682</td><td class="count">85%</td><td class="count">30%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280482">SRR4280482</a></td><td><a href="/sra/SRX2182157">SRX2182157</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792859">SAMN05792859</a></td><td class="count">23,742,066</td><td class="count">88%</td><td class="count">31%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280483">SRR4280483</a></td><td><a href="/sra/SRX2182158">SRX2182158</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792860">SAMN05792860</a></td><td class="count">19,054,532</td><td class="count">84%</td><td class="count">28%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280485">SRR4280485</a></td><td><a href="/sra/SRX2182160">SRX2182160</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792861">SAMN05792861</a></td><td class="count">21,372,618</td><td class="count">87%</td><td class="count">24%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280486">SRR4280486</a></td><td><a href="/sra/SRX2182161">SRX2182161</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792862">SAMN05792862</a></td><td class="count">25,216,310</td><td class="count">88%</td><td class="count">27%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280487">SRR4280487</a></td><td><a href="/sra/SRX2182162">SRX2182162</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792863">SAMN05792863</a></td><td class="count">26,148,614</td><td class="count">89%</td><td class="count">25%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280488">SRR4280488</a></td><td><a href="/sra/SRX2182163">SRX2182163</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792864">SAMN05792864</a></td><td class="count">25,079,996</td><td class="count">89%</td><td class="count">27%</td></tr><tr><td><a href="/Traces/sra/?run=SRR4280489">SRR4280489</a></td><td><a href="/sra/SRX2182164">SRX2182164</a></td><td><a href="/sra/SRP090227">SRP090227</a></td><td><a href="/biosample/?term=SAMN05792865">SAMN05792865</a></td><td class="count">23,484,678</td><td class="count">85%</td><td class="count">24%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434345">SRR5434345</a></td><td><a href="/sra/SRX2724380">SRX2724380</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704747">SAMN06704747</a></td><td class="count">42,644,522</td><td class="count">62%</td><td class="count">11%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434344">SRR5434344</a></td><td><a href="/sra/SRX2724379">SRX2724379</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704778">SAMN06704778</a></td><td class="count">42,349,982</td><td class="count">67%</td><td class="count">13%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434343">SRR5434343</a></td><td><a href="/sra/SRX2724378">SRX2724378</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704780">SAMN06704780</a></td><td class="count">38,129,806</td><td class="count">67%</td><td class="count">16%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434342">SRR5434342</a></td><td><a href="/sra/SRX2724377">SRX2724377</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704781">SAMN06704781</a></td><td class="count">41,074,202</td><td class="count">69%</td><td class="count">16%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434341">SRR5434341</a></td><td><a href="/sra/SRX2724376">SRX2724376</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704782">SAMN06704782</a></td><td class="count">41,026,632</td><td class="count">73%</td><td class="count">16%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434340">SRR5434340</a></td><td><a href="/sra/SRX2724375">SRX2724375</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704784">SAMN06704784</a></td><td class="count">40,773,334</td><td class="count">70%</td><td class="count">17%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434339">SRR5434339</a></td><td><a href="/sra/SRX2724374">SRX2724374</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704787">SAMN06704787</a></td><td class="count">47,676,104</td><td class="count">70%</td><td class="count">16%</td></tr><tr><td><a href="/Traces/sra/?run=SRR5434338">SRR5434338</a></td><td><a href="/sra/SRX2724373">SRX2724373</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN06704788">SAMN06704788</a></td><td class="count">39,746,974</td><td class="count">69%</td><td class="count">16%</td></tr><tr><td><a href="/Traces/sra/?run=SRR6351163">SRR6351163</a></td><td><a href="/sra/SRX3447895">SRX3447895</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN08137146">SAMN08137146</a></td><td class="count">40,512,040</td><td class="count">67%</td><td class="count">17%</td></tr><tr><td><a href="/Traces/sra/?run=SRR6351164">SRR6351164</a></td><td><a href="/sra/SRX3447894">SRX3447894</a></td><td><a href="/sra/SRP103526">SRP103526</a></td><td><a href="/biosample/?term=SAMN08137147">SAMN08137147</a></td><td class="count">43,945,062</td><td class="count">70%</td><td class="count">16%</td></tr></tbody></table></div></div></div><h3>Protein alignments </h3><div class="menu-tabs"><div id="asp1"><table class="jig-ncbigrid zebra" summary="Alignment statistics" data-jigconfig="columnTypes:['str', 'str', 'num', 'num', 'num', 'num', 'num'], width:880"><thead><tr><th>Source</th><th width="150" style="text-align:center">Number of sequences retrieved from
Entrez</th><th width="150" style="text-align:center">Number (%) of sequences aligned by ProSplign</th><th width="150" style="text-align:center">Number (%) of sequences passed to
Gnomon</th><th width="100" style="text-align:center">Average % identity</th><th width="100" style="text-align:center">Average % coverage</th></tr></thead><tbody><tr><td>Pogona vitticeps<br />high-quality model RefSeq (XP_)</td><td class="count">13,733</td><td class="count">13,308 (96.91%)</td><td class="count">13,308 (96.91%)</td><td class="count">70.59%</td><td class="count">77.95%</td></tr><tr><td>Same-species<br />GenBank</td><td class="count">12</td><td class="count">12 (100.00%)</td><td class="count">12 (100.00%)</td><td class="count">90.94%</td><td class="count">88.11%</td></tr><tr><td><div data-jigconfig="destSelector: 'div#help div#protein-align-krs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Same-species<br />known RefSeq (NP_) <img src="/core/icons/help.png" alt="help" /></div></td><td class="count">9</td><td class="count">9 (100.00%)</td><td class="count">9 (100.00%)</td><td class="count">78.61%</td><td class="count">80.72%</td></tr><tr><td>Anolis carolinensis<br />high-quality model RefSeq (XP_)</td><td class="count">13,146</td><td class="count">12,544 (95.42%)</td><td class="count">12,544 (95.42%)</td><td class="count">68.28%</td><td class="count">77.48%</td></tr><tr><td>Xenopus<br />GenBank</td><td class="count">31,776</td><td class="count">29,821 (93.85%)</td><td class="count">29,821 (93.85%)</td><td class="count">68.76%</td><td class="count">74.45%</td></tr><tr><td><div data-jigconfig="destSelector: 'div#help div#protein-align-krs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Xenopus<br />known RefSeq (NP_) <img src="/core/icons/help.png" alt="help" /></div></td><td class="count">19,661</td><td class="count">18,603 (94.62%)</td><td class="count">18,603 (94.62%)</td><td class="count">68.90%</td><td class="count">74.72%</td></tr><tr><td>Sauropsida<br />GenBank</td><td class="count">21,389</td><td class="count">18,994 (88.80%)</td><td class="count">18,994 (88.80%)</td><td class="count">67.95%</td><td class="count">71.37%</td></tr><tr><td><div data-jigconfig="destSelector: 'div#help div#protein-align-krs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Sauropsida<br />known RefSeq (NP_) <img src="/core/icons/help.png" alt="help" /></div></td><td class="count">8,113</td><td class="count">7,719 (95.14%)</td><td class="count">7,719 (95.14%)</td><td class="count">71.68%</td><td class="count">77.22%</td></tr><tr><td>Homo sapiens<br />GenBank</td><td class="count">129,209</td><td class="count">106,101 (82.12%)</td><td class="count">106,101 (82.12%)</td><td class="count">66.33%</td><td class="count">71.98%</td></tr><tr><td><div data-jigconfig="destSelector: 'div#help div#protein-align-krs', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Homo sapiens<br />known RefSeq (NP_) <img src="/core/icons/help.png" alt="help" /></div></td><td class="count">50,311</td><td class="count">44,688 (88.82%)</td><td class="count">44,688 (88.82%)</td><td class="count">66.40%</td><td class="count">71.37%</td></tr></tbody></table></div></div><h2 id="AnnotationComparisonStats">Comparison of the current and previous
annotations</h2><p>The annotation produced for this release (102) was
compared to the annotation in the previous release (101) for
each assembly annotated in both releases. Scores for current and previous gene and transcript
features were calculated based on overlap in exon sequence and matches in exon boundaries.
Pairs of current and previous features were categorized based on these scores, whether they are
reciprocal best matches, and changes in attributes (gene biotype, completeness, etc.). If the
assembly was updated between the two releases, alignments between the current and
the previous assembly were used to match the current and previous gene and transcript features
in mapped regions.</p><p>The table below summarizes the changes in the gene set for each assembly as a percent
of the number of genes in the current annotation release, and provides links to the
details of the comparison in tabular format and in a <a href="/tools/gbench/">Genome Workbench
project</a>.</p><table class="jig-ncbigrid zebra" summary="Annotation Comparison" data-jigconfig="width: 380"><thead><th width="130"></th><th>Python_molurus_bivittatus-5.0.2 (Current) to Python_molurus_bivittatus-5.0.2 (Previous)</th></thead><tbody><tr><td><span data-jigconfig="destSelector: '#annot_compare_identical', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Identical <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">7%</td></tr><tr><td><span data-jigconfig="destSelector: '#annot_compare_minor', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Minor changes <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">66%</td></tr><tr><td><span data-jigconfig="destSelector: '#annot_compare_major', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Major changes <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">12%</td></tr><tr><td><span data-jigconfig="destSelector: '#annot_compare_new', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">New <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">14%</td></tr><tr><td><span data-jigconfig="destSelector: '#annot_compare_deprecated', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Deprecated <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">4%</td></tr><tr><td><span data-jigconfig="destSelector: '#annot_compare_other', hasArrow:true, closeEvent : 'click', openEvent: 'click', addCloseButton: true, delayTimeout:100, openAnimationTime:100" class="jig-ncbipopper">Other <img src="/core/icons/help.png" alt="help" /></span></td><td class="count">1%</td></tr><tr><td><b>Download the report</b></td><td style="text-align:center"><a href="https://ftp.ncbi.nlm.nih.gov/genomes/all/annotation_releases/176946/102/GCF_000186305.1_Python_molurus_bivittatus-5.0.2/Annotation_comparison/GCF_000186305.1_Python_molurus_bivittatus-5.0.2_compare_prev.txt.gz">tabular</a>, <a href="https://ftp.ncbi.nlm.nih.gov/genomes/all/annotation_releases/176946/102/GCF_000186305.1_Python_molurus_bivittatus-5.0.2/Annotation_comparison/GCF_000186305.1_Python_molurus_bivittatus-5.0.2_compare_prev.gbp.gz">Genome Workbench</a></td></tr></tbody></table><h2>References</h2><ul><li><a href="/RefSeq/" class="external-link" rel="nofollow">RefSeq</a>: Pruitt KD, Brown GR, Hiatt SM, Thibaud-Nissen F,
Astashyn A, Ermolaeva O, Farrell CM, Hart J, Landrum MJ, McGarvey KM, Murphy MR,
O'Leary NA, Pujar S, Rajput B, Rangwala SH, Riddick LD, Shkeda A, Sun H, Tamez
P, Tully RE, Wallin C, Webb D, Weber J, Wu W, Dicuccio M, Kitts P, Maglott DR,
Murphy TD, Ostell JM. <a href="/pubmed/24259432" class="external-link" rel="nofollow"><em>Nucleic Acids Research</em> 2014,
<strong>42</strong>(Database issue):D756-63</a></li><li><a href="http://www.repeatmasker.org" class="external-link" rel="nofollow">RepeatMasker</a>: Smit AFA, Hubley R, Green P. RepeatMasker Open-3.0.
19962004. <a href="http://www.repeatmasker.org" class="external-link" rel="nofollow">http://www.repeatmasker.org</a></li><li><a href="/pubmed/16287941" class="external-link" rel="nofollow">WindowMasker</a>: Morgulis A, Gertz EM, Schäffer AA, Agarwala
R. <a href="/pubmed/16287941" class="external-link" rel="nofollow"><em>Bioinformatics</em> 2006, <strong>2</strong>:134-41</a></li><li><a href="/sutils/splign/splign.cgi?textpage=documentation" class="external-link" rel="nofollow">Splign</a>: Kapustin Y, Souvorov A,
Tatusova T, Lipman D. <a href="/pubmed/18495041" class="external-link" rel="nofollow"><em>Biology Direct</em> 2008,
<strong>3</strong>:20</a></li></ul></div>
<div id="help" class="content">
<div id="genes" style="display:none;">Gene and transcribed and non-transcribed
pseudogene features </div>
<div id="multiply-placed" style="display:none;">Features annotated on more than one
assembly-unit.<br /> This value is only provided if statistics are calculated on more
than one assembly-unit.<br /> For more details on the assembly model see <a href="/assembly/model">https://www.ncbi.nlm.nih.gov/assembly/model/</a></div>
<div id="rs-transcripts" style="display:none;">High-confidence coding transcripts
curated by the RefSeq group<br />or produced via automated RefSeq processing. See<a href="/refseq/about/">
https://www.ncbi.nlm.nih.gov/refseq/about/</a></div>
<div id="ab-initio" style="display:none;">Features supported only partially by
experimental evidence,<br /> for which more than 5% of their length was predicted by
Gnomon using a hidden Markov model </div>
<div id="model-RefSeq-XMs-correct" style="display:none;">Coding transcripts predicted by
Gnomon with insertions, deletions or frameshifts relative to the genome<br /> but a
strong hit to a SwissProt protein. Protein titles for these models are prefixed with
<br /> PREDICTED: LOW QUALITY PROTEIN</div>
<div id="non-coding-RNAs" style="display:none;">misc_RNA, tRNA, rRNA and ncRNA of all
classes. Does not include pseudogenes</div>
<div id="pseudo-transcripts" style="display:none;">Transcript features of transcribed pseudogenes</div>
<div id="non-coding-transcripts" style="display:none;">Non-coding transcripts (misc_RNA,
lncRNA, rRNA, snRNA, snoRNA and guide_RNA)<br />predicted by Gnomon or RFAM and cmsearch
and assigned XR_* accessions</div>
<div id="tran-align-longsra" style="display:none;">Long reads retrieved from the Sequence
Read Archive, such as 454 sequences generated with GS FLX instruments. </div>
<div id="refseq-align-quality" style="display:none;"> Transcripts for which less than
95% of the CDS aligns to the genomic sequence.<br /> Usually indicate an assembly
problem.</div>
<div id="protein-align-krs" style="display:none;">High-confidence proteins curated by
the RefSeq group<br />or produced via automated RefSeq processing. See<a href="/refseq/about/">
https://www.ncbi.nlm.nih.gov/refseq/about/</a></div>
<div id="protein-align-mrs" style="display:none;">Proteins predicted by Gnomon and
assigned XP_* accessions. </div>
<div id="protein-excepts" style="display:none;">Proteins predicted by Gnomon with
insertions, deletions or frameshifts relative to the genome<br /> but a strong hit to
a SwissProt protein. Titles for these proteins are prefixed with<br /> PREDICTED: LOW
QUALITY PROTEIN.</div>
<div id="single-exon-transcripts" style="display:none;">Single-exon mRNAs, misc_RNAs and
ncRNAs of class lncRNA. <br />Does not include tRNAs, rRNAs or ncRNAs of class other
than lncRNA.</div>
<div id="exons-all" style="display:none;">Exons in mRNAs, misc_RNAs and ncRNAs of class
lncRNA. <br />Does not include tRNAs, rRNAs or ncRNAs of class other than lncRNA.
<br /> Exons shared by multiple transcripts are counted once.</div>
<div id="exons-coding" style="display:none;">Exons in mRNA transcripts.<br /> Exons
shared by multiple coding transcripts are counted once.</div>
<div id="exons-non-coding" style="display:none;">Exons in misc_RNAs and ncRNAs of class
lncRNA.<br />Exons shared by multiple non-coding transcripts are counted once.</div>
<div id="introns-all" style="display:none;">Introns in mRNAs, misc_RNAs, and ncRNAs of
class lncRNA. <br />Does not include tRNAs, rRNAs or ncRNAs of class other than
lncRNA.<br />Introns shared by multiple transcripts are counted once.</div>
<div id="introns-coding" style="display:none;">Introns in mRNA transcripts.<br /> Introns
shared by multiple coding transcripts are counted once.</div>
<div id="introns-non-coding" style="display:none;">Introns in misc_RNAs and ncRNAs of
class lncRNA.<br />Introns shared by multiple non-coding transcripts are counted
once.</div>
<div id="CDSs_feat_count" style="display:none;">Excludes CDSs of immunoglobulin and
T-cell receptor genes</div>
<div id="major_correction" style="display:none;">CDSs with correction for premature
stop-codons, frameshifts or internal gaps</div>
<div id="filled_gap" style="display:none;">Model RefSeqs extended using transcript
sequence to compensate for an assembly gap</div>
<div id="annot_compare_identical" style="display:none;">Genes with perfect match in exon boundaries</div>
<div id="annot_compare_minor" style="display:none;">Highly similar genes, with support scores of 0.66 or more <br />(on a scale of 0 to 1) on both sides of the comparison.<br />
The support score is derived from a combination <br />of matching exon boundaries and sequence overlap. <br />
Corresponds to the Similar category in the full report</div>
<div id="annot_compare_major" style="display:none;">Genes with support scores lower than 0.66 (on a scale of 0 to 1) <br />on one or both sides of the comparison,
and genes with changed <br />biotype or changed completeness, and split or moved genes. <br />Corresponds to
categories Changed substantially, Changed locus <br />type, Split, Moved, and Changed completeness in the full report</div>
<div id="annot_compare_new" style="display:none;">Novel genes or genes without a match in the previous release.
<br />Corresponds to categories Current-novel, Current-other, and<br /> Current-unmapped in the full report</div>
<div id="annot_compare_deprecated" style="display:none;">Deprecated genes or genes without a match in the
current<br /> release. Corresponds to categories Previous-novel,<br /> Previous-other, Previous-unmapped, and Merged
in the full <br />report</div>
<div id="annot_compare_other" style="display:none;">Other changes</div>
</div>
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