The NIH Comparative Genomics Resource: An organism-agnostic ecosystem facilitating reliable eukaryotic comparative genomics

Comparative genomic analyses are a powerful tool for scientific discovery. The National Institutes of Health (NIH) Comparative Genomics Resource (CGR) maximizes the impact of eukaryotic research organisms and their genomic data to biomedical research. CGR, which is free for all users, facilitates reliable comparative genomics analyses for all eukaryotic organisms through community collaboration and a National Center for Biotechnology Information (NCBI) genomics toolkit. The toolkit includes high-quality data, tools, and interfaces for connecting community-provided resources with NCBI. This poster gives an overview of CGR goals and resources of interest, including tools to improve data quality by reducing genome contamination (Foreign Contamination Screen, FCS) and adding high-quality gene annotation (Eukaryotic Genome Annotation Pipeline, EGAPx), easily access genome and gene data through both the web and command line with NCBI Datasets, and explore data in new ways with clustered protein BLAST and pairwise analysis of genomes with the Comparative Genome Viewer (CGV). CGR is highly dependent on community feedback, and we encourage feedback at https://www.ncbi.nlm.nih.gov/cgr to help direct our future efforts. This work was supported by the National Center for Biotechnology Information of the National Library of Medicine (NLM), National Institutes of Health. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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Publication Details

Journal
Physiology
Published
2025-05-01
DOI
https://doi.org/10.1152/physiol.2025.40.s1.0240
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.81
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article

The NIH Comparative Genomics Resource: An organism-agnostic ecosystem facilitating reliable eukaryotic comparative genomics

Vamsi K. Kodali, Terence D. Murphy, Francoise Thibaud-Nissen, Sanjida Rangwala et al.
1 citations
Physiology
Genomics and Phylogenetic Studies
0.81
article

The NIH Comparative Genomics Resource: An organism-agnostic ecosystem facilitating reliable eukaryotic comparative genomics

Vamsi K. Kodali, Terence D. Murphy, Francoise Thibaud-Nissen, Sanjida Rangwala, Aron Marchler‐Bauer, Valérie Schneider, Hannah V. Carey, Nuala A. O’Leary, Preye Akuiyibo
article en
1 citations

Abstract

Comparative genomic analyses are a powerful tool for scientific discovery. The National Institutes of Health (NIH) Comparative Genomics Resource (CGR) maximizes the impact of eukaryotic research organisms and their genomic data to biomedical research. CGR, which is free for all users, facilitates reliable comparative genomics analyses for all eukaryotic organisms through community collaboration and a National Center for Biotechnology Information (NCBI) genomics toolkit. The toolkit includes high-quality data, tools, and interfaces for connecting community-provided resources with NCBI. This poster gives an overview of CGR goals and resources of interest, including tools to improve data quality by reducing genome contamination (Foreign Contamination Screen, FCS) and adding high-quality gene annotation (Eukaryotic Genome Annotation Pipeline, EGAPx), easily access genome and gene data through both the web and command line with NCBI Datasets, and explore data in new ways with clustered protein BLAST and pairwise analysis of genomes with the Comparative Genome Viewer (CGV). CGR is highly dependent on community feedback, and we encourage feedback at https://www.ncbi.nlm.nih.gov/cgr to help direct our future efforts. This work was supported by the National Center for Biotechnology Information of the National Library of Medicine (NLM), National Institutes of Health. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

PhysiologyVol. 40(S1)
University of Wisconsin–Madison (US), National Center for Biotechnology Information (US)
Openalex Percentile: Top 26%
Genomics and Phylogenetic Studies
0.81
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