Mutational signature discovery is a process of deconvoluting cancer 
                 somatic mutation counts, stratified by mutation context or biologically meaningful subgroup, 
                 into a set of characteristic patterns (signatures) and inferring the activity of each of the 
                 discovered signatures across samples.

This pipeline detected mutational signatures across samples based on Bayesian non-negative matrix factorization
                  (BayesNMF) method

solution(s) of mutational signatures across

distinct mutational signatures were identified.

The activity of discovered <span class="parameter">5</span> mutational processes across samples. In the legend, the 'C' followed by a number represents the COSMIC signature, and the following piece of information is our annotation on that COSMIC signature. For more information on each COSMIC signature, see full table in the Methods & Data section.

The activity of the 5 Mutational Signatures

mutational signatures and Sanger COSMIC signatures

The activity of discovered <span class="parameter">6</span> mutational processes across samples. In the legend, the 'C' followed by a number represents the COSMIC signature, and the following piece of information is our annotation on that COSMIC signature. For more information on each COSMIC signature, see full table in the Methods & Data section.

The activity of the 6 Mutational Signatures

The activity of discovered <span class="parameter">7</span> mutational processes across samples. In the legend, the 'C' followed by a number represents the COSMIC signature, and the following piece of information is our annotation on that COSMIC signature. For more information on each COSMIC signature, see full table in the Methods & Data section.

The activity of the 7 Mutational Signatures

<span class="parameter">Input file for mutation signature pipeline</span>

<span class="parameter">The input maf is the original maf file.</span>

Output files from mutation signature pipeline :

*.WH.RData : a R object storing W and H matrix generated by BayesNMF. 
                                       WH[[1]] is the W matrix containing the normalized profiles of discovered mutation signatures 
                                       along 96 tri-nucleotide mutation contexts, which is used to generate the mutation signature 
                                       bar plot. WH[[2]] is the activity matrix of mutations signatures across samples 
                                       (# of signatures by # of samples) and WH[[3]] is the normalized activity matrix. 
                                       The activity means the number of mutations assigned to each signature.