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<section class="cgr-banner">
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<div class="usa-grid">
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<h1>About CGR</h1>
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</div>
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</section>
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<div class="page-content">
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<section class="usa-grid-full usa-section" data-section="first_tier">
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<div class="usa-width-two-thirds cgr-primary-content">
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<h2 id="cgr-overview">CGR overview</h2>
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<p>The National Institutes of Health (NIH) Comparative Genomics Resource (CGR) is a multi-year National Library of
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Medicine (NLM) project to maximize the impact of eukaryotic research organisms and their genomic data resources to
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biomedical research. The National Center for Biotechnology Information (NCBI), as part of NLM, is charged with leading
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development and engaging genomics communities. The CGR project will facilitate reliable comparative genomics analyses
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for all eukaryotic organisms in collaboration with the genomics community.</p>
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<p>Feedback from the genomics community will inform improvements made to existing NCBI data, tools, and interfaces and
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new developments in these areas. Additionally, to further scientific discovery, this project seeks to enhance
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NLM/NCBI-held genomic related content with community-supplied content, such as sample metadata and gene functional
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information, from other data resources and individual researchers. </p>
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</div>
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<div class="usa-width-one-third">
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<div class="mui-card mui-card--with-actions">
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<div class="mui-card-content">
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<h3 id="get-involved">Get involved</h3>
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<p>Community participation is integral to CGR. Email us to join you at a conference, teach a workshop, partner on a
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webinar, or discuss other ideas you may have to foster information sharing and feedback. </p>
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</div>
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<div class="mui-card-actions">
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<p><a class="mui-button mui-button-contained" href="mailto:cgr@nlm.nih.gov">Email CGR</a></p>
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</div>
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</div>
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</div>
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</section>
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<section class="usa-grid-full usa-section" data-section="second_tier">
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<div class="usa-width-two-thirds">
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<h3 id="benefits">Benefits</h3>
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<ul>
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<li>
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<p><strong>High-Quality Genomic Data</strong>: Newly accessible and improved NCBI tools will provide the genomics community with a
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core foundation of uncontaminated and consistently annotated eukaryotic genomes. </p>
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</li>
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<li>
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<p><strong>New and Improved Comparative Genomics Tools</strong>: NCBI will improve existing tools and develop new ones to improve
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and simplify comparative analyses. These tools provide researchers with a seamless experience to explore, analyze,
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and retrieve eukaryotic genome-related content.</p>
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</li>
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<li>
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<p><strong>Scalable Analyses</strong>: NCBI is developing content and tools to support emerging big data approaches to comparative
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genomics analyses, such as facilitating the creation of Artificial Intelligence (AI)-ready datasets and cloud-ready
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tools. This will meet new research needs and accommodate anticipated data growth. CGR also emphasizes the application
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of FAIR (Findable, Accessible, Interoperable, Reusable) principles. FAIR principles make it easier to search, browse,
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download, and use NCBI genome-associated data with a range of standard bioinformatics platforms and tools. </p>
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</li>
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<li>
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<p><strong>New Discovery Amplification</strong>: CGR will amplify opportunities for researchers to make new discoveries from
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comparative genomic analysis. NCBI’s toolkit provides organism-agnostic tools that offer equal access to datasets
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across the eukaryotic tree of life. These expose biological information and reveal patterns in the data that can spur
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new hypotheses for future research. Additionally, with standardized interfaces, CGR can connect NCBI’s toolkit with
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communities that currently have or wish to develop their own organism-specific resources. The exposure of these data
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to more researchers can amplify its use and contribute to new discoveries.</p>
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</li>
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<li>
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<p><strong>Scientific Advancement</strong>: Put together, by maximizing the impact of eukaryotic research organisms and their genomic
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data resources to biomedical research, CGR offers new possibilities for scientific advancement. </p>
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</li>
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</ul>
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</div>
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<div class="usa-width-two-thirds">
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<pre><code><!-- empty -->
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</code></pre>
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</div>
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</section>
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<section class="usa-grid-full usa-section" data-section="third_tier">
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<div class="usa-width-one-whole">
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<h2 id="timeline">Timeline</h2>
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<p><img width="100%" src="/core/assets/datasets/images/cgr/roadmap-2024-Nov.svg" alt="CGR roadmap"/></p>
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</div>
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</section>
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<section class="usa-grid-full usa-section" data-section="fourth_tier">
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<div class="usa-width-two-thirds">
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<h2 id="cgr-advisory-boards">CGR advisory boards</h2>
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<p>CGR has two advisory boards that are essential to CGR’s success and development.</p>
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<h3 id="nlm-board-of-regents-cgr-working">NLM Board of Regents CGR working group (BoR WG)</h3>
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<p>BoR WG members are external to NIH and are leaders in various biological fields dependent on genomic data. They provide
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diverse perspectives and extensive expertise to guide the development of this new approach to scientific discovery,
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help project teams keep pace with changes in the field, and understand the scientific community’s needs and
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expectations for key functionalities. </p>
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<p><a href="/datasets/cgr/working-group/">Meet the BoR WG members</a></p>
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<h3 id="cgr-executive-steering-committee">CGR Executive Steering Committee (ESC)</h3>
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<p>The ESC provides NIH oversight to the CGR project includes representatives from NIH institutes and centers most related
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to comparative genomics. Members ensure CGR remains within scope and budget while meeting planned milestones.</p>
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||
</div>
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<div class="usa-width-one-third">
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<pre><code><!-- empty -->
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||
</code></pre>
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</div>
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</section>
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</div>
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</div>
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<p></p>
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</main>
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