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.

Links