Mutational Signatures in Cancer (MuSiCa): a web application to implement mutational signatures analysis in cancer samples
QH301-705.5
Shiny
Computer applications to medicine. Medical informatics
Mutational signatures
R858-859.7
Web Browser
COSMIC database
Web tool
R language
03 medical and health sciences
Neoplasms
Databases, Genetic
Cancer genomics
Humans
Biology (General)
0303 health sciences
Genome, Human
Computational Biology
Genetic Variation
3. Good health
Single nucleotide variants
Mutation
Transcriptome
Software
Genes, Neoplasm
DOI:
10.1186/s12859-018-2234-y
Publication Date:
2018-06-14T01:43:01Z
AUTHORS (6)
ABSTRACT
Mutational signatures have been proved as a valuable pattern in somatic genomics, mainly regarding cancer, with a potential application as a biomarker in clinical practice. Up to now, several bioinformatic packages to address this topic have been developed in different languages/platforms. MutationalPatterns has arisen as the most efficient tool for the comparison with the signatures currently reported in the Catalogue of Somatic Mutations in Cancer (COSMIC) database. However, the analysis of mutational signatures is nowadays restricted to a small community of bioinformatic experts.In this work we present Mutational Signatures in Cancer (MuSiCa), a new web tool based on MutationalPatterns and built using the Shiny framework in R language. By means of a simple interface suited to non-specialized researchers, it provides a comprehensive analysis of the somatic mutational status of the supplied cancer samples. It permits characterizing the profile and burden of mutations, as well as quantifying COSMIC-reported mutational signatures. It also allows classifying samples according to the above signature contributions.MuSiCa is a helpful web application to characterize mutational signatures in cancer samples. It is accessible online at http://bioinfo.ciberehd.org/GPtoCRC/en/tools.html and source code is freely available at https://github.com/marcos-diazg/musica .
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