Evidence map›Paper›PMID 24217909›Full record

ArticleNucleic acids research2014

Current status and new features of the Consensus Coding Sequence database.

Catherine M Farrell, Nuala A O'Leary, Rachel A Harte, Jane E Loveland, Laurens G Wilming, Craig Wallin, Mark Diekhans, Daniel Barrell, Stephen M J Searle, Bronwen Aken and 33 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
10.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 158 citations in OpenAlex.

  1. How Genomic and Structural Context Could Shape JAK-STAT Variant Pathogenicity.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2026
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  3. HuR controls glutaminase RNA metabolism.Nature communications · 2024
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33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors at 4 institutions in 2 countries.

Catherine M FarrellNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD 20894, USA, Center for Biomolecular Science and Engineering, University of California Santa Cruz (UCSC), Santa Cruz, CA 95064, USA, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK and Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Nuala A O'Leary
Rachel A Harte
Jane E Loveland
Laurens G Wilming
Craig Wallin
Mark Diekhans
Daniel Barrell
Stephen M J Searle
Bronwen Aken
Susan M Hiatt
Adam Frankish
Marie-Marthe Suner
Bhanu Rajput
Charles A Steward
Garth R Brown
Ruth Bennett
Michael Murphy
Wendy Wu
Mike P Kay
Jennifer Hart
Jeena Rajan
Janet Weber
Catherine Snow
Lillian D Riddick
Toby Hunt
David Webb
Mark Thomas
Pamela Tamez
Sanjida H Rangwala
Kelly M McGarvey
Shashikant Pujar
Andrei Shkeda
Jonathan M Mudge
Jose M Gonzalez
James G R Gilbert
Stephen J Trevanion
Robert Baertsch
Jennifer L Harrow
Tim Hubbard
James M Ostell
David Haussler
Kim D Pruitt
University of California, Santa Cruz · USHoward Hughes Medical Institute · USWellcome Sanger Institute · GBNational Center for Biotechnology Information · US

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Integrated human genome annotation: generation of a reference gene setU54HG004555 · NHGRI · SANGER INSTITUTE · PI HUBBARD, TIMOTHY JOHN · 2007 to 2012
$11.2M
Howard Hughes Medical InstituteIntramural NIH HHSNHGRI NIH HHS 10U41 HG007234-01NHGRI NIH HHS 5U54HG00455-04NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U54 HG004555Wellcome Trust 095908Wellcome Trust WT062023Wellcome Trust WT077198
6 · The paper itself

Abstract

The Consensus Coding Sequence (CCDS) project (http://www.ncbi.nlm.nih.gov/CCDS/) is a collaborative effort to maintain a dataset of protein-coding regions that are identically annotated on the human and mouse reference genome assemblies by the National Center for Biotechnology Information (NCBI) and Ensembl genome annotation pipelines. Identical annotations that pass quality assurance tests are tracked with a stable identifier (CCDS ID). Members of the collaboration, who are from NCBI, the Wellcome Trust Sanger Institute and the University of California Santa Cruz, provide coordinated and continuous review of the dataset to ensure high-quality CCDS representations. We describe here the current status and recent growth in the CCDS dataset, as well as recent changes to the CCDS web and FTP sites. These changes include more explicit reporting about the NCBI and Ensembl annotation releases being compared, new search and display options, the addition of biologically descriptive information and our approach to representing genes for which support evidence is incomplete. We also present a summary of recent and future curation targets.

Indexed as

Databases, GeneticAnimalsExonsGenomicsHumansInternetMiceMolecular Sequence AnnotationProteinsSequence AnalysisProteins

Identifiers

PMID24217909
PMCPMC3965069
OpenAlexW2099477841

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.