MetamORF
MetamORF catalogs unique short open reading frames (sORFs) identified by experimental and computational approaches in the human and mouse genomes to provide a normalized, non-redundant resource for sORF annotation and analysis.
Key Features:
- Scope: Catalogs unique sORFs identified by experimental and computational methodologies in human and mouse genomes.
- Data integration: Aggregates publicly available sORF datasets into a single repository.
- Normalization and redundancy removal: Normalizes nomenclature, reprocesses data, and summarizes redundant entries.
- sORF count: Contains 1,162,675 distinct sORFs.
- Annotation levels: Supports analyses at loci, gene, transcript, and ORF levels.
- Nomenclature standardization: Applies a normalized nomenclature to address categories such as short, upstream, and downstream ORFs.
- Genome browser integration: Provides database content via track hubs for the UCSC Genome Browser.
Scientific Applications:
- sORF annotation: Provide standardized annotations of sORFs in human and mouse genomes.
- Comparative analyses: Enable cross-species and conservation studies of sORFs.
- Functional genomics: Support investigation of sORF roles at loci, gene, transcript, and ORF scales.
- Genomic context analyses: Integrate sORF annotations with genomic coordinates via UCSC Genome Browser track hubs.
Methodology:
Integrates publicly available datasets, normalizes nomenclature, reprocesses data to summarize redundant entries, and exports content as UCSC Genome Browser track hubs.
Topics
Details
- Tool Type:
- command-line tool, web application
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Choteau SA, Wagner A, Pierre P, Spinelli L, Brun C. MetamORF: A repository of unique short Open Reading Frames identified by both experimental and computational approaches for gene-level and meta-analysis. Unknown Journal. 2020. doi:10.1101/2020.11.12.380055.