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GENCODE 2025: reference gene annotation for human and mouse
Jonathan M Mudge1, Sílvia Carbonell-Sala2, Mark Diekhans3
1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
The GENCODE project enhances human and mouse genome annotation using advanced sequencing and proteomics. New methods improve transcript models and long non-coding RNA catalogs, making genomic data more accessible.
Area of Science:
- Genomics
- Transcriptomics
- Proteomics
Background:
- The GENCODE project provides comprehensive gene annotation for human and mouse genomes.
- The field of genomics is rapidly advancing with new technologies and methodologies.
- Accurate gene annotation is crucial for understanding genome function and disease.
Purpose of the Study:
- To detail the latest advancements in GENCODE's comprehensive gene annotation for human and mouse.
- To highlight the integration of new technologies for improved genomic and transcriptomic cataloging.
- To address challenges in resource usability and outline future directions in the pangenome era.
Main Methods:
- Long-read transcriptome sequencing for identifying novel transcripts and refining existing gene models.
- Integration of proteomics and Ribo-seq data to enhance annotation of translated sequences.
- Development of filtered genesets (e.g., MANE Select, GENCODE Primary) for improved usability.
Main Results:
- Significant expansion and reconfiguration of long non-coding RNA catalogs.
- Substantial improvements in existing transcript models and identification of numerous missing transcripts.
- Enhanced annotation of translated sequences through integrated multi-omics data.
Conclusions:
- GENCODE continues to evolve, leveraging cutting-edge technologies for increasingly granular genome annotation.
- New resources and filtered genesets enhance usability, addressing the complexity of comprehensive genomic data.
- The project is poised to contribute to the emerging pangenome era by propagating annotations across multiple genomes.
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