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GENCODE: reference annotation for the human and mouse genomes in 2023

Authors :
Adam Frankish
Sílvia Carbonell-Sala
Mark Diekhans
Irwin Jungreis
Jane E Loveland
Jonathan M Mudge
Cristina Sisu
James C Wright
Carme Arnan
If Barnes
Abhimanyu Banerjee
Ruth Bennett
Andrew Berry
Alexandra Bignell
Carles Boix
Ferriol Calvet
Daniel Cerdán-Vélez
Fiona Cunningham
Claire Davidson
Sarah Donaldson
Cagatay Dursun
Reham Fatima
Stefano Giorgetti
Carlos Garcıa Giron
Jose Manuel Gonzalez
Matthew Hardy
Peter W Harrison
Thibaut Hourlier
Zoe Hollis
Toby Hunt
Benjamin James
Yunzhe Jiang
Rory Johnson
Mike Kay
Julien Lagarde
Fergal J Martin
Laura Martínez Gómez
Surag Nair
Pengyu Ni
Fernando Pozo
Vivek Ramalingam
Magali Ruffier
Bianca M Schmitt
Jacob M Schreiber
Emily Steed
Marie-Marthe Suner
Dulika Sumathipala
Irina Sycheva
Barbara Uszczynska-Ratajczak
Elizabeth Wass
Yucheng T Yang
Andrew Yates
Zahoor Zafrulla
Jyoti S Choudhary
Mark Gerstein
Roderic Guigo
Tim J P Hubbard
Manolis Kellis
Anshul Kundaje
Benedict Paten
Michael L Tress
Paul Flicek
Source :
Frankish, Adam; Carbonell-Sala, Sílvia; Diekhans, Mark; Jungreis, Irwin; Loveland, Jane E; Mudge, Jonathan M; Sisu, Cristina; Wright, James C; Arnan, Carme; Barnes, If; Banerjee, Abhimanyu; Bennett, Ruth; Berry, Andrew; Bignell, Alexandra; Boix, Carles; Calvet, Ferriol; Cerdán-Vélez, Daniel; Cunningham, Fiona; Davidson, Claire; Donaldson, Sarah; ... (2023). GENCODE: reference annotation for the human and mouse genomes in 2023. Nucleic acids research, 51(D1), D942-D949. Oxford University Press 10.1093/nar/gkac1071
Publication Year :
2022
Publisher :
Oxford University Press, 2022.

Abstract

Data availability: No new data were generated or analysed in support of this research. Copyright © The Author(s) 2022. GENCODE produces high quality gene and transcript annotation for the human and mouse genomes. All GENCODE annotation is supported by experimental data and serves as a reference for genome biology and clinical genomics. The GENCODE consortium generates targeted experimental data, develops bioinformatic tools and carries out analyses that, along with externally produced data and methods, support the identification and annotation of transcript structures and the determination of their function. Here, we present an update on the annotation of human and mouse genes, including developments in the tools, data, analyses and major collaborations which underpin this progress. For example, we report the creation of a set of non-canonical ORFs identified in GENCODE transcripts, the LRGASP collaboration to assess the use of long transcriptomic data to build transcript models, the progress in collaborations with RefSeq and UniProt to increase convergence in the annotation of human and mouse protein-coding genes, the propagation of GENCODE across the human pan-genome and the development of new tools to support annotation of regulatory features by GENCODE. Our annotation is accessible via Ensembl, the UCSC Genome Browser and https://www.gencodegenes.org. National Human Genome Research Institute of the National Institutes of Health [U41HG007234, R01HG004037]; Wellcome Trust [WT222155/Z/20/Z]; European Molecular Biology Laboratory. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Funding for open access charge: National Institutes of Health.

Subjects

Subjects :
Genetics
610 Medicine & health

Details

Database :
OpenAIRE
Journal :
Frankish, Adam; Carbonell-Sala, S&#237;lvia; Diekhans, Mark; Jungreis, Irwin; Loveland, Jane E; Mudge, Jonathan M; Sisu, Cristina; Wright, James C; Arnan, Carme; Barnes, If; Banerjee, Abhimanyu; Bennett, Ruth; Berry, Andrew; Bignell, Alexandra; Boix, Carles; Calvet, Ferriol; Cerd&#225;n-V&#233;lez, Daniel; Cunningham, Fiona; Davidson, Claire; Donaldson, Sarah; ... (2023). GENCODE: reference annotation for the human and mouse genomes in 2023. Nucleic acids research, 51(D1), D942-D949. Oxford University Press 10.1093/nar/gkac1071 <http://dx.doi.org/10.1093/nar/gkac1071>
Accession number :
edsair.doi.dedup.....10247881d8c4fbceb604577e5be9e5ad
Full Text :
https://doi.org/10.48350/175146