FunTaxIS-lite
FunTaxIS-lite implements taxon-based constraints on Gene Ontology (GO) terms to define and refine protein functions across diverse organisms.
Key Features:
- Taxon-based GO constraints: Implements constraints on Gene Ontology (GO) terms that delineate the specific functions an organism or taxon can perform.
- Constraint generation and propagation: Uses a set of rules to generate and propagate constraints through the taxonomic hierarchy and the GO graph.
- Extension of GO Consortium constraints: Expands the constraints provided by the Gene Ontology Consortium by an average of 300%.
- Improved function prediction precision: Reduces errors introduced by automatic annotation algorithms and enhances the precision of predicted protein functions.
- Annotation correction: Identifies and corrects inconsistent protein annotations in sequence annotation databases.
Scientific Applications:
- Protein function annotation refinement: Refines GO-based protein annotations by applying taxon-specific constraints.
- Cross-taxon comparative analysis: Enables comparison of protein functions across diverse organisms with taxon-aware specificity.
- Database curation and quality control: Supports detection and correction of inconsistent annotations in biological databases.
Methodology:
A sophisticated set of rules generates and propagates taxon-based constraints across the taxonomic hierarchy and the GO graph.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Shell
- Added:
- 3/18/2024
- Last Updated:
- 3/18/2024
Operations
Publications
Bianca F, Ispano E, Gazzola E, Lavezzo E, Fontana P, Toppo S. FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms. Bioinformatics. 2023;39(9). doi:10.1093/bioinformatics/btad549. PMID:37672040. PMCID:PMC10500080.
PMID: 37672040
PMCID: PMC10500080
Funding: - Ministero dell’Istruzione, dell’Università e della Ricerca, PON: DOT1319403-4
- Università degli Studi di Padova, Italy: DOR2020