UGAHash

UGAHash assigns unique accession identifiers to genomic features to enable consistent cross-database identification and comparison of annotations, with emphasis on long noncoding RNAs (lncRNAs).


Key Features:

  • Distributed accession assignment: Uses a distributed method to assign unique accession numbers to genomic features.
  • Universal Genomic Accessions: Generates accession identifiers that remain consistent regardless of database version or genome assembly version.
  • lncRNA-focused reconciliation: Targets long noncoding RNAs (lncRNAs) to address discrepancies in genomic locations, transcript lengths, and identifiers.
  • Mitigation of expression variability: Reduces variation in measured RNA expression levels that arises from using different reference annotations.
  • Cross-database identification: Facilitates consistent identification of features across multiple database versions and platforms.
  • Historical annotation mapping: Supports mapping annotations across current and historical versions of public genomic databases.

Scientific Applications:

  • lncRNA studies: Improve consistency in annotation and identification for studies focused on long noncoding RNAs.
  • Annotation reconciliation: Enable comparison and harmonization of genomic annotations across database versions and genome assemblies.
  • Transcript novelty verification: Support verification of transcript existence to avoid misclassifying transcripts as novel due to annotation discrepancies.
  • Expression analysis consistency: Reduce annotation-driven artifacts in RNA expression analyses when different reference annotations are used.

Methodology:

Implements a distributed algorithm to assign unique accession numbers to genomic features and produce Universal Genomic Accessions consistent across database and genome assembly versions.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Weirick T, John D, Uchida S. Resolving the problem of multiple accessions of the same transcript deposited across various public databases. Briefings in Bioinformatics. 2016. doi:10.1093/bib/bbw017. PMID:26921280.

Documentation

Links