Identification of mutational signatures active in individual tumors
1
Institute of Computer Science and Institute of Bioinformatics, Freie Universität Berlin, Berlin, Germany
2
Institute of Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Genomics, Oncology
- Keywords
- mutational signatures, somatic mutations, cancer genomics, R package
- Copyright
- © 2017 Krüger et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Identification of mutational signatures active in individual tumors. PeerJ Preprints 5:e3257v1 https://doi.org/10.7287/peerj.preprints.3257v1
Abstract
The mutational processes responsible for the somatic mutations observed in tumor samples can significantly vary not only between tumor types but also among the individual cancers within a tumor class. Mutational processes can be represented by so called “mutational signatures” which reflect the occurrences of base changes within their sequence contexts (i.e., in dependence on their flanking bases).
We present a user-friendly R package, called decompTumor2Sig, that can be used to evaluate the contribution of Shiraishi signatures to the somatic mutations found in an individual tumor.
Author Comment
This is an abstract which has been accepted for the NETTAB 2017 Workshop