ArticleNucleic acids research2018
Consensus coding sequence (CCDS) database: a standardized set of human and mouse protein-coding regions supported by expert curation.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.
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Who cites it
91 citing papers in PubMed.
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- Integrating evidence from protein domains to identify cancer driver mutations.Protein science : a publication of the Protein Society · 2026Article
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- Pan-cancer prevalence, risk, and clinical and demographic characteristics of Lynch Syndrome-associated variants in BioBank Japan.Communications medicine · 2025Article
- A systematic analysis of contemporary whole exome sequencing capture kits to optimise high-coverage capture of CCDS regions.NAR genomics and bioinformatics · 2025Article
- A cell type and state specific gene regulation network inference method for immune regulatory analysis.NPJ systems biology and applications · 2025Article
- Haploinsufficiency of ITSN1 is associated with a substantial increased risk of Parkinson's disease.Cell reports · 2025Article
- A large-scale sORF screen identifies putative microproteins involved in cancer cell fitness.iScience · 2025Article
- Comparative analysis of the Mexico City Prospective Study and the UK Biobank identifies ancestry-specific effects on clonal hematopoiesis.Nature genetics · 2025Article
31 more citing papers are in PubMed but not listed here.
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37 authors.
Funding
Abstract
The Consensus Coding Sequence (CCDS) project provides a dataset of protein-coding regions that are identically annotated on the human and mouse reference genome assembly in genome annotations produced independently by NCBI and the Ensembl group at EMBL-EBI. This dataset is the product of an international collaboration that includes NCBI, Ensembl, HUGO Gene Nomenclature Committee, Mouse Genome Informatics and University of California, Santa Cruz. Identically annotated coding regions, which are generated using an automated pipeline and pass multiple quality assurance checks, are assigned a stable and tracked identifier (CCDS ID). Additionally, coordinated manual review by expert curators from the CCDS collaboration helps in maintaining the integrity and high quality of the dataset. The CCDS data are available through an interactive web page (https://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi) and an FTP site (ftp://ftp.ncbi.nlm.nih.gov/pub/CCDS/). In this paper, we outline the ongoing work, growth and stability of the CCDS dataset and provide updates on new collaboration members and new features added to the CCDS user interface. We also present expert curation scenarios, with specific examples highlighting the importance of an accurate reference genome assembly and the crucial role played by input from the research community.
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