convenience functions for compatibility between carjed/helmsman output and various mutation signature analysis packages

SigMa is a probabilistic model for the sequential dependencies of mutation signatures

📦 My personal python utility library.

As part of an overall strategy for improving therapies for childhood cancers, the PPTC seeks to develop models for the types of tumors that will be encountered in early phase clinical testing by establishing patient derived xenografts (PDXs) from high-risk childhood cancers refractory to current standard of care treatments. Genomic profiling of …

convSig R Package

ExploSig: web-based interactive visualization of mutation signatures and somatic mutation data

A somatic mutation signature simulator

Comprehensive cancer signatures with reusable modules written in python, integrating SNV, SV and MSI profiles in signatures decomposed using non-negative matrix factorisation, and produce production ready pdf reports.

An R wrapper for running the SigProfilerPlotting framework

Mutational Signatue Analysis using R

Pre-compiled absolute CNV data, which can be used for package sigminer/VSHunter and CNV analysis

Detecting tumor mutational signatures with a CNN

Code used to plot mutational signature profiles in https://doi.org/10.1101/322859. Please use the supported R package ICAMS instead.

A tidyverse-style package for plotting mutational signatures and context counts.

iMutSig: a web application to identify the most similar mutational signature using shiny

Prostate Cancer Alteration Signature Analysis https://xsliulab.github.io/PC_CNA_signature/

Algorithms for the generation of substitution matrices from intra-taxa variation data. Implemented and published on human genetic variation data.

📦 An R package for inferring the mutational exposures difference between groups.

Extract and explore snv data