NoBadWordsCombiner
NoBadWordsCombiner merges annotation hits from multiple eukaryotic databases to reduce non-informative functional descriptions (e.g., "hypothetical" or "uncharacterized") in BLAST results and thereby improve protein-coding gene annotation accuracy.
Key Features:
- Merging of Database Hits: Combines results from various eukaryotic gene annotation databases to integrate functional evidence across sources.
- Minimization of "Bad Words": Filters or minimizes functional descriptions containing ambiguous terms such as "hypothetical" or "uncharacterized" proteins to increase annotation specificity.
- BLAST hit refinement: Identifies and mitigates non-informative top BLAST (Basic Local Alignment Search Tool) hits when reconciling results from multiple functional databases.
Scientific Applications:
- Gene annotation refinement: Improves the accuracy and specificity of functional annotations for protein-coding genes.
- Genomics and molecular biology analyses: Supports interpretation of genetic data by providing clearer functional descriptions in genomic studies.
- Cross-eukaryote gene characterization: Strengthens gene definitions and characterization of protein-coding genes across diverse eukaryotic organisms.
Methodology:
Combines results from multiple eukaryotic gene annotation databases and filters functional descriptions containing terms such as "hypothetical" or "uncharacterized"; processes BLAST (Basic Local Alignment Search Tool) hits to identify the most relevant hits while minimizing non-informative top hits.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 4/10/2022
- Last Updated:
- 4/10/2022
Operations
Publications
Zhang X, Hu Y, Smith DR. Protocol for using NoBadWordsCombiner to merge and minimize “bad words” from BLAST hits against multiple eukaryotic gene annotation databases. STAR Protocols. 2021;2(4):100888. doi:10.1016/j.xpro.2021.100888. PMID:34704076. PMCID:PMC8521201.