MutaGene: analysis of mutations and mutational processes in cancer
Explore mutational profiles and signaturesBrowse context-dependent mutational profiles in cancer samples, within-cancer heterogeneity, and signatures of mutagenic processes
Compare and cluster mutational profilesFind similarities between cancer types. Identify clusters of tumor samples based on the similarities of their mutational processes
Identify mutational processes updated!Calculate mutational profile for a given set of mutations. Identify the most likely mutagenic processes (mutational signatures). Find the best matching cancer type, primary site, and patient cohort
May 29, 2018 Cancer driver prediction
Analyze Gene module predicts mutations to be drivers, potential drivers and passengers by adjusting the number of reoccurences of a mutation in cancer patients by its mutability accoring to the expected background mutagenesis. These predictions were validated with a benchmark compiled from multiple experimental studies. Our BioArxiv preprint describes the method and the benchmark in detail.
Dec 20, 2017 Improved indentification of mutational processes
Identification of combinations of signatures representing mutagenic processes operating in tumor sample has become a routing analysis step in cancer genomics. Our new algorithm is capable of correctly handling the cases with fewer mutations. Moreover, mutation burden is now displayed for each mutational signature.
- Please cite MutaGene as Goncearenco A., Rager S.L., Li M., Sang Q., Rogozin I.B., Panchenko A.R. Exploring background mutational processes to decipher cancer genetic heterogeneity. Nucleic Acids Res. 2017; 45(W1):W514–W522.
- Driver prediction method is described in Minghui Li, Anna-Leigh Brown, Alexander Goncearenco, Anna R Panchenko Nucleotide and codon background mutability shape cancer mutational spectrum and advance driver mutation identification. Bioarxiv doi: https://doi.org/10.1101/354506