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MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
Sebastien A Choteau, Audrey Wagner, Philippe Pierre, Lionel Spinelli, Christine Brun

MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

The development of high-throughput technologies revealed the existence of noncanonical short open reading frames (sORFs) on most eukaryotic ribonucleic acids. They are ubiquitous genetic elements conserved across species and suspected to be involved in numerous cellular processes. MetamORF (https://metamorf.hb.univ-amu.fr/) aims to provide a repository of unique sORFs identified in the human and mouse genomes with both experimental and computational approaches. By gathering publicly available sORF data, normalizing them and summarizing redundant information, we were able to identify a total of 1 162 675 unique sORFs. Despite the usual characterization of ORFs as short, upstream or downstream, there is currently no clear consensus regarding the definition of these categories. Thus, the data have been reprocessed using a normalized nomenclature. MetamORF enables new analyses at locus, gene, transcript and ORF levels, which should offer the possibility to address new questions regarding sORF functions in the future. The repository is available through an user-friendly web interface, allowing easy browsing, visualization, filtering over multiple criteria and export possibilities. sORFs can be searched starting from a gene, a transcript and an ORF ID, looking in a genome area or browsing the whole repository for a species. The database content has also been made available through track hubs at UCSC Genome Browser. Finally, we demonstrated

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Document Information

Document Title MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
Author / Organization Sebastien A Choteau, Audrey Wagner, Philippe Pierre, Lionel Spinelli, Christine Brun
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-99751
Original Source Link Visit Source Page on hal.science »