A somatic mutation signature simulator
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Updated
Feb 13, 2020 - Python
A somatic mutation signature simulator
Mutational Signatue Analysis using R
Some workflows I wrote for my phd projects
Analysis pipleine to model tumour clonal evolution from WGS data (driver annotation, quality control of copy number calls, subclonal and mutational signature deconvolution)
Code used to plot mutational signature profiles in https://doi.org/10.1101/322859. Please use the supported R package ICAMS instead.
deconstructSigs for Clojure
📦 My personal python utility library.
B-Cell Lymphomas Mutational Signatures
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.
Tool for analyzing the inter-mutational distances between SNV-SNV and INDEL-INDEL mutations. Tool separates mutations into clustered and non-clustered groups on a sample-dependent basis.
SNMF: Integrated Learning of Mutational Signatures and Prediction of DNA Repair Deficiencies by Goossens S, Tepeli YI, Gonçalves JP
Pre-compiled absolute CNV data, which can be used for package sigminer/VSHunter and CNV analysis
Detecting tumor mutational signatures with a CNN
Shiny server for analyzing mutational signature data; uses mSigAct, ICAMS, and related functionality.
iMutSig: a web application to identify the most similar mutational signature using shiny
Algorithms for the generation of substitution matrices from intra-taxa variation data. Implemented and published on human genetic variation data.
Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures
convenience functions for compatibility between carjed/helmsman output and various mutation signature analysis packages
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