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Tracking and coordinating an international curation effort for the CCDS Project
Rachel A Harte1, Catherine M Farrell, Jane E Loveland
1Center for Biomolecular Science and Engineering, University of California Santa Cruz (UCSC), Santa Cruz, CA 95064, USA.
Database : the Journal of Biological Databases and Curation
|March 22, 2012
Summary
The Consensus Coding Sequence (CCDS) collaboration provides a gold standard for human and mouse protein-coding gene annotations. This curated dataset ensures high-quality, consistent genome information for researchers worldwide.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- The Consensus Coding Sequence (CCDS) project aims to establish a high-quality, curated set of protein-coding region annotations for reference genomes.
- Accurate gene annotations are crucial for experimental design, data analysis, and interpretation in biological research.
Purpose of the Study:
- To present the current status and procedures of the CCDS database.
- To detail the curation standards and guidelines for human and mouse genome annotation.
- To ensure consistency and quality in protein-coding sequence annotations.
Main Methods:
- Analysis of automated whole-genome annotation builds to identify identical CDS annotations.
- Implementation of quality assurance testing and manual curation.
- Development of specific curation guidelines for NMD candidates, upstream ORFs, start codons, and readthrough transcripts.
Main Results:
- The CCDS database provides a conservative, high-quality set of protein-coding annotations.
- Standardized curation guidelines improve annotation consistency and reduce discussion time.
- CCDS identifiers track identical CDS annotations, requiring consensus for changes.
Conclusions:
- The CCDS collaboration offers a reliable 'gold standard' dataset for human and mouse gene annotations.
- The established procedures and guidelines ensure the integrity and accuracy of genome annotation data.
- This resource facilitates robust research by providing dependable gene information.

