» Articles » PMID: 27091472

MutSpec: a Galaxy Toolbox for Streamlined Analyses of Somatic Mutation Spectra in Human and Mouse Cancer Genomes

Overview
Publisher Biomed Central
Specialty Biology
Date 2016 Apr 20
PMID 27091472
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The nature of somatic mutations observed in human tumors at single gene or genome-wide levels can reveal information on past carcinogenic exposures and mutational processes contributing to tumor development. While large amounts of sequencing data are being generated, the associated analysis and interpretation of mutation patterns that may reveal clues about the natural history of cancer present complex and challenging tasks that require advanced bioinformatics skills. To make such analyses accessible to a wider community of researchers with no programming expertise, we have developed within the web-based user-friendly platform Galaxy a first-of-its-kind package called MutSpec.

Results: MutSpec includes a set of tools that perform variant annotation and use advanced statistics for the identification of mutation signatures present in cancer genomes and for comparing the obtained signatures with those published in the COSMIC database and other sources. MutSpec offers an accessible framework for building reproducible analysis pipelines, integrating existing methods and scripts developed in-house with publicly available R packages. MutSpec may be used to analyse data from whole-exome, whole-genome or targeted sequencing experiments performed on human or mouse genomes. Results are provided in various formats including rich graphical outputs. An example is presented to illustrate the package functionalities, the straightforward workflow analysis and the richness of the statistics and publication-grade graphics produced by the tool.

Conclusions: MutSpec offers an easy-to-use graphical interface embedded in the popular Galaxy platform that can be used by researchers with limited programming or bioinformatics expertise to analyse mutation signatures present in cancer genomes. MutSpec can thus effectively assist in the discovery of complex mutational processes resulting from exogenous and endogenous carcinogenic insults.

Citing Articles

MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification.

Pancotti C, Rollo C, Codice F, Birolo G, Fariselli P, Sanavia T Bioinformatics. 2024; 40(5).

PMID: 38754097 PMC: 11139523. DOI: 10.1093/bioinformatics/btae320.


A review on trends in development and translation of omics signatures in cancer.

Ma W, Tang W, Kwok J, Tong A, Lo C, Chu A Comput Struct Biotechnol J. 2024; 23:954-971.

PMID: 38385061 PMC: 10879706. DOI: 10.1016/j.csbj.2024.01.024.


Evaluating topography of mutational signatures with SigProfilerTopography.

Otlu B, Alexandrov L bioRxiv. 2024; .

PMID: 38260507 PMC: 10802511. DOI: 10.1101/2024.01.08.574683.


Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications.

Patterson A, Elbasir A, Tian B, Auslander N Cancers (Basel). 2023; 15(7).

PMID: 37046619 PMC: 10093138. DOI: 10.3390/cancers15071958.


Uncovering novel mutational signatures by extraction with SigProfilerExtractor.

Islam S, Diaz-Gay M, Wu Y, Barnes M, Vangara R, Bergstrom E Cell Genom. 2022; 2(11):None.

PMID: 36388765 PMC: 9646490. DOI: 10.1016/j.xgen.2022.100179.


References
1.
Alexandrov L, Nik-Zainal S, Wedge D, Campbell P, Stratton M . Deciphering signatures of mutational processes operative in human cancer. Cell Rep. 2013; 3(1):246-59. PMC: 3588146. DOI: 10.1016/j.celrep.2012.12.008. View

2.
Nik-Zainal S, Alexandrov L, Wedge D, Van Loo P, Greenman C, Raine K . Mutational processes molding the genomes of 21 breast cancers. Cell. 2012; 149(5):979-93. PMC: 3414841. DOI: 10.1016/j.cell.2012.04.024. View

3.
Alexandrov L, Nik-Zainal S, Wedge D, Aparicio S, Behjati S, Biankin A . Signatures of mutational processes in human cancer. Nature. 2013; 500(7463):415-21. PMC: 3776390. DOI: 10.1038/nature12477. View

4.
Burns M, Temiz N, Harris R . Evidence for APOBEC3B mutagenesis in multiple human cancers. Nat Genet. 2013; 45(9):977-83. PMC: 3902892. DOI: 10.1038/ng.2701. View

5.
. Mutational landscape of gingivo-buccal oral squamous cell carcinoma reveals new recurrently-mutated genes and molecular subgroups. Nat Commun. 2013; 4:2873. PMC: 3863896. DOI: 10.1038/ncomms3873. View