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.
DOI: 10.1093/bib/bbw017
PMID: 26921280