GENCODE 2025: reference gene annotation for human and mouse

Jonathan M. Mudge(European Bioinformatics Institute), Sílvia Carbonell Sala(Centre for Genomic Regulation), Mark Diekhans(University of California, Santa Cruz), Jose Gonzalez Martinez(European Bioinformatics Institute), Toby Hunt(European Bioinformatics Institute), Irwin Jungreis(Broad Institute), Jane Loveland(European Bioinformatics Institute), Carme Arnan(Centre for Genomic Regulation), If Barnes(European Bioinformatics Institute), Ruth Bennett(European Bioinformatics Institute), Andrew Berry(European Bioinformatics Institute), Alexandra Bignell(European Bioinformatics Institute), Daniel Cerdán-Vélez(Spanish National Cancer Research Centre), Kelly Cochran(Stanford University), Lucas T Cortés(European Bioinformatics Institute), Claire Davidson(European Bioinformatics Institute), Sarah Donaldson(European Bioinformatics Institute), Cagatay Dursun(Yale University), Reham Fatima(European Bioinformatics Institute), Matthew P. Hardy(European Bioinformatics Institute), Prajna Hebbar(University of California, Santa Cruz), Zoe Hollis(European Bioinformatics Institute), Benjamin T. James(Broad Institute), Yunzhe Jiang(Yale University), Rory Johnson(University College Dublin), Gazaldeep Kaur(Centre for Genomic Regulation), Mike Kay(European Bioinformatics Institute), Riley J. Mangan(Broad Institute), Miguel Maquedano(Spanish National Cancer Research Centre), Laura Martínez Gómez(Spanish National Cancer Research Centre), Nourhen Mathlouthi(European Bioinformatics Institute), Ryan Merritt(European Bioinformatics Institute), Pengyu Ni(Yale University), Emilio Palumbo(Centre for Genomic Regulation), Tamara Perteghella(Universitat Pompeu Fabra), Fernando Campo del Pozo(Spanish National Cancer Research Centre), Shriya Raj(European Bioinformatics Institute), Cristina Sisu(Yale University), Emily Steed(European Bioinformatics Institute), Dulika Sumathipala(European Bioinformatics Institute), Marie‐Marthe Suner(European Bioinformatics Institute), Barbara Uszczyńska-Ratajczak(Institute of Bioorganic Chemistry, Polish Academy of Sciences), Elizabeth Wass(European Bioinformatics Institute), Yucheng Yang(Fudan University), Dingyao Zhang(Yale University), ROBERT FINN(European Bioinformatics Institute), Mark Gerstein(Yale University), Roderic Guigó(Universitat Pompeu Fabra), Tim Hubbard(Guy's Hospital), M Kellis(Broad Institute), Anshul Kundaje(Stanford University), Benedict Paten(University of California, Santa Cruz), Michael L. Tress(Spanish National Cancer Research Centre), Ewan Birney(European Bioinformatics Institute), Fergal J. Martin(European Bioinformatics Institute), Adam Frankish(European Bioinformatics Institute)
Nucleic Acids Research
November 20, 2024
Cited by 295Open Access
Full Text

Abstract

GENCODE produces comprehensive reference gene annotation for human and mouse. Entering its twentieth year, the project remains highly active as new technologies and methodologies allow us to catalog the genome at ever-increasing granularity. In particular, long-read transcriptome sequencing enables us to identify large numbers of missing transcripts and to substantially improve existing models, and our long non-coding RNA catalogs have undergone a dramatic expansion and reconfiguration as a result. Meanwhile, we are incorporating data from state-of-the-art proteomics and Ribo-seq experiments to fine-tune our annotation of translated sequences, while further insights into function can be gained from multi-genome alignments that grow richer as more species' genomes are sequenced. Such methodologies are combined into a fully integrated annotation workflow. However, the increasing complexity of our resources can present usability challenges, and we are resolving these with the creation of filtered genesets such as MANE Select and GENCODE Primary. The next challenge is to propagate annotations throughout multiple human and mouse genomes, as we enter the pangenome era. Our resources are freely available at our web portal www.gencodegenes.org, and via the Ensembl and UCSC genome browsers.


Related Papers