VecScreen_plus_taxonomy
VecScreen_plus_taxonomy identifies and annotates vector contamination in nucleic acid sequences by using taxonomy-aware matching to support submission screening and curation in GenBank.
Key Features:
- Taxonomy-Informed Analysis: Incorporates taxonomic information from the UniVec database to distinguish true-positive from false-positive VecScreen matches when sequences and matching vector subsequences derive from related organisms.
- Retrospective Analysis Pipeline: A retrospective pipeline analyzed existing GenBank entries and resulted in identification and correction of over 8,000 contaminated sequences in the nonredundant nucleotide database.
- Prospective Analysis Pipeline: A prospective pipeline, implemented since April 2017, evaluates new sequence submissions to GenBank for vector contamination.
- Data Integration: Leverages source annotations from UniVec release 10.0 to assess the taxonomic origin of UniVec entries during contamination assessment.
Scientific Applications:
- Database curation: Improves quality of public sequence repositories such as GenBank and the nonredundant nucleotide database by detecting and annotating vector contamination.
- Submission quality control: Provides screening for new sequence submissions to identify vector-derived artifacts prior to accessioning.
- Research data integrity: Reduces artifacts that could compromise experimental results or downstream analyses in genomics and bioinformatics studies.
Methodology:
VecScreen_plus_taxonomy runs VecScreen against the UniVec database (including UniVec release 10.0 source annotations) and classifies matches using taxonomy-aware rules within retrospective and prospective software pipelines.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 6/21/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Schäffer AA, Nawrocki EP, Choi Y, Kitts PA, Karsch-Mizrachi I, McVeigh R. VecScreen_plus_taxonomy: imposing a tax(onomy) increase on vector contamination screening. Bioinformatics. 2017;34(5):755-759. doi:10.1093/bioinformatics/btx669. PMID:29069347. PMCID:PMC6030928.