SomaticSignatures

SomaticSignatures identifies mutational signatures from somatic single-nucleotide variants (SNVs) in cancer sequencing data to characterize underlying mutagenic processes.

Key Features:

• Pattern Identification: Identifies mutational signatures from somatic SNV catalogs to reveal characteristic mutation patterns associated with specific mutagenic processes or exposures.
• Flexibility and Interoperability: Provides a flexible framework that supports interoperable use with other bioinformatics tools and workflows.
• Cross-Dataset Analysis: Enables large-scale estimation of mutational signatures across multiple datasets for comparative analyses.
• Methodological Support: Implements established methods for decomposition of mutation patterns into constituent signatures and allows incorporation of user-defined approaches.
• Bioconductor Integration: Integrates with the Bioconductor ecosystem for compatibility with Bioconductor data structures and analysis workflows.

Scientific Applications:

• Cancer Etiology: Infers etiological factors and mutagenic processes contributing to tumor mutation spectra.
• Therapeutic Targets: Aids identification of mutational processes that may indicate therapeutic vulnerabilities or targets.
• Prognostic Markers: Facilitates discovery of mutation-derived markers potentially linked to disease progression or patient outcomes.

Methodology:

Decomposes mutation patterns into distinct mutational signatures using established statistical decomposition techniques and supports incorporation of user-defined methods.