🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html

An R package for studying mutational signatures and structural variant signatures along clonal evolution in cancer.

Sigflow: Streamline Analysis Workflows for Mutational Signatures, https://github.com/ShixiangWang/sigflow/pkgs/container/sigflow

R wrapper for utilizing the SigProfilerMatrixGenerator framework

An R wrapper for SigProfilerExtractor that allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use o…

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

An R wrapper for running the SigProfilerPlotting framework

Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures

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 …

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

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

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

Extract and explore snv data

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

R package implementing Bayesian NMF using various models and prior structures.

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

Detecting mutational signatures via bayesian inference and a reference catalog

convSig R Package

Mutational Signatue Analysis using R

This plot is useful for the comparison of mutational load across the cancer types, with input data in 2 coulmns i.e cancer types and mutatonal load for each samples in specificed cancer type.