SigProfilerTopography

SigProfilerTopography evaluates the effect of chromatin organization, histone modifications, transcription factor binding, DNA replication, and DNA transcription on the activities of mutational processes in cancer genomes, elucidating the topographical characteristics and underlying biological mechanisms of mutational signatures.

Key Features:

• Chromatin organization analysis: Evaluates the effect of chromatin organization on mutational signature activities.
• Histone modification analysis: Assesses how histone modifications influence mutational processes.
• Transcription factor binding analysis: Examines the effect of transcription factor binding on mutational signatures.
• DNA replication analysis: Evaluates the impact of DNA replication on mutational process activities.
• DNA transcription analysis: Assesses how DNA transcription influences mutational signatures.
• Mutational signature topography: Elucidates the unique topographical characteristics of mutational signatures.

Scientific Applications:

• Cancer genome analysis: Provides insights into the biological and molecular mechanisms shaping mutation patterns in cancer genomes.
• Mutational process characterization: Unveils the underlying biological mechanisms of mutational signatures through topographical analysis.

Methodology:

SigProfilerTopography is implemented as a Python package that comprehensively examines the interplay between topographical genomic features and mutational signatures.