Evidence map›Paper›PMID 27091472›Full record

ArticleBMC bioinformatics2016

MutSpec: a Galaxy toolbox for streamlined analyses of somatic mutation spectra in human and mouse cancer genomes.

Maude Ardin, Vincent Cahais, Xavier Castells, Liacine Bouaoun, Graham Byrnes, Zdenko Herceg, Jiri Zavadil, Magali Olivier

Abstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Maude ArdinMolecular Mechanisms and Biomarkers Group, International Agency for Research on Cancer, F69372, Lyon, France.
Vincent CahaisEpigenetic Group, International Agency for Research on Cancer, F69372, Lyon, France.
Xavier CastellsMolecular Mechanisms and Biomarkers Group, International Agency for Research on Cancer, F69372, Lyon, France.
Liacine BouaounBiostatistics Group, International Agency for Research on Cancer, F69372, Lyon, France.
Graham ByrnesBiostatistics Group, International Agency for Research on Cancer, F69372, Lyon, France.
Zdenko HercegEpigenetic Group, International Agency for Research on Cancer, F69372, Lyon, France.
Jiri ZavadilMolecular Mechanisms and Biomarkers Group, International Agency for Research on Cancer, F69372, Lyon, France.
Magali OlivierMolecular Mechanisms and Biomarkers Group, International Agency for Research on Cancer, F69372, Lyon, France. olivierm@iarc.fr.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe 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.

resultsMutSpec 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.

conclusionsMutSpec 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.

Indexed as

Genes, NeoplasmGenomeGenome, HumanAnimalsComputational BiologyDatabases, GeneticExomeGenetic Association StudiesHumansMiceMouth NeoplasmsMutationNeoplasmsSoftwareGalaxyMutation signaturesMutation spectraSingle base substitutions

Identifiers

PMID27091472
PMCPMC4835840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.