Unlock the full potential of eukaryotic research organisms and their genomic data with the National Institutes of Health (NIH) Comparative Genomics Resource (CGR). CGR facilitates reliable comparative genomics analyses through community collaboration as well as an NCBI toolkit of interconnected, interoperable data and tools.
Comparative genomics is a field of study that uses the genomes of many different organisms to help us understand basic biological processes and human disease. NCBI is developing CGR to help researchers take full advantage of the rapidly growing number of eukaryotic organisms that, due to recent technological advances, now have sequenced genomes and associated data that can be used in these types of studies. Its NCBI toolkit offers new and modern resources for such analyses, and its emphasis on community collaboration brings new opportunities to share and connect data.
NCBI Toolkit
The NCBI toolkit provided by CGR offers high-quality genomics-related resources.
- Interconnected databases with access points to navigate NCBI content.
- Interoperable NCBI data and tools that integrate into your workflows.
What are some things I can do with the NCBI toolkit?
- Compare Genomic Sequences: Find regions of similarity between eukaryotic sequences with the Basic Local Alignment Search Tool (BLAST). Try the new ClusteredNR database to explore evolutionary relationships and identify related organisms.
- Explore and Download NCBI Sequence Data: NCBI Datasets webpages and command-line tools allow you to browse genomic data, including sequences, annotation, and metadata. You can download comprehensive packages of genomic or gene sequence data and metadata.
- Visualize Data: Compare eukaryotic genome assemblies and easily identify genomic changes that may be significant to biology and evolution using the Comparative Genome Viewer (CGV). Zoom in to examine a region at the sequence-level using the Multiple Sequence Alignment (MSA) Viewer. Explore and analyze the genomic region’s annotations with the Genome Data Viewer (GDV).
- Improve Data Quality Before Submission: Quickly analyze your sequence submission data using the Foreign Contamination Screening (FCS) tool, a quality assurance process that you can run yourself. Evaluate your human, mouse, or rat genome assembly for completeness, correctness, and base accuracy with the Assembly Quality Control (QC) service.
- And more!
Community Collaboration
- Contribute to the collection of publicly available genomic data from the NCBI Archives. Submit your assembled genome to GenBank at the Submission Portal.
- Improve gene functional annotations and connect literature to gene records. Submit a GeneRIF (Gene Reference into Function).
- Enable new discoveries and further scientific advancement! Reach out to us at [email protected] or visit our website and click the yellow Feedback button on the bottom right to explore opportunities to connect your genome-related data and metadata to NCBI through APIs or links.
- Your feedback will inform new developments and improvements.
Join the CGR community today and revolutionize your research!
- Tell us what you need to support your comparative genomics analyses.
- Identify opportunities for connectivity with community-provided, genomics-related data and tools.
- Give feedback on the NCBI toolkit – especially if you use multiple CGR-related data, tools, and resources in combination.
- Join our mailing list to stay up to date.
The NIH Comparative Genomics Resource (CGR) is a great tool for researchers who are interested in comparative genomics. It facilitates reliable comparative genomics analyses through community collaboration as well as an NCBI toolkit of interconnected, interoperable data and tools. The NCBI toolkit provided by CGR offers high-quality genomics-related resources such as interconnected databases with access points to navigate NCBI content and interoperable NCBI data and tools that integrate into your workflows. With the NCBI toolkit, you can compare genomic sequences using the Basic Local Alignment Search Tool (BLAST) and explore and download NCBI sequence data including sequences, annotation, and metadata .
Regards,
Michael Wichkoski