MutCombinator
MutCombinator identifies mutated peptides from tandem mass spectra by searching combinatorial point mutations on a nucleotide-based variant graph to support proteogenomic analyses.
Key Features:
- Combinatorial Mutation Search: Considers combinations of point mutations during database searches of tandem mass spectra to detect a broader spectrum of peptide variants.
- Variant Graph Utilization: Employs a nucleotide-based variant graph that maintains reading-frame information and is indexed by nine nucleotides for rapid access.
- Integration with Mutation Databases: Uses large mutation databases such as COSMIC to generate candidate variant peptides for searching.
- In-Frame and Three-Frame Search: Supports in-frame searches for coding regions and three-frame searches for non-coding regions.
- Genomics–Proteomics Integration: Leverages next-generation sequencing (NGS) and proteomic data to infer protein expression and detect mutation-derived peptide variants.
Scientific Applications:
- Proteogenomic peptide discovery: Identifies novel peptides that arise from genetic mutations for proteogenomic studies.
- Detection of combinatorial variant peptides: Detects peptide variants resulting from multiple concurrent point mutations that conventional searches may miss.
- Cancer proteomics: Supports analysis of protein variations linked to somatic mutations cataloged in COSMIC and other cancer-related mutation datasets.
Methodology:
Performs a nucleotide-based graph search using a variant graph indexed by nine nucleotides that preserves frame information; considers combinatorial point mutations during database searches of tandem mass spectra; supports in-frame and three-frame searches and incorporates mutation databases such as COSMIC to generate candidate peptides.
Topics
Details
- Tool Type:
- desktop application
- Programming Languages:
- Java
- Added:
- 1/18/2021
- Last Updated:
- 3/2/2021
Operations
Publications
Choi S, Paek E. MutCombinator: identification of mutated peptides allowing combinatorial mutations using nucleotide-based graph search. Bioinformatics. 2020;36(Supplement_1):i203-i209. doi:10.1093/bioinformatics/btaa504. PMID:32657416. PMCID:PMC7355298.