@article {Gehring010686, author = {Julian S. Gehring and Bernd Fischer and Michael Lawrence and Wolfgang Huber}, title = {SomaticSignatures: Inferring Mutational Signatures from Single Nucleotide Variants}, elocation-id = {010686}, year = {2015}, doi = {10.1101/010686}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Mutational signatures are patterns in the occurrence of somatic single nucleotide variants (SNVs) that can reflect underlying mutational processes. The SomaticSignatures package provides flexible, interoperable, and easy-to-use tools that identify such signatures in cancer sequencing data. It facilitates large-scale, cross-dataset estimation of mutational signatures, implements existing methods for pattern decomposition, supports extension through user-defined methods and integrates with Bioconductor workflows.The R package SomaticSignatures is available as part of the Bioconductor project (R Core Team, 2014; Gentleman et al., 2004). Its documentation provides additional details on the methodology and demonstrates applications to biological datasets.}, URL = {https://www.biorxiv.org/content/early/2015/03/16/010686}, eprint = {https://www.biorxiv.org/content/early/2015/03/16/010686.full.pdf}, journal = {bioRxiv} }