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MPAgenomics: an R package for multi-patient analysis of genomic markers
Authors:Quentin Grimonprez  Alain Celisse  Samuel Blanck  Meyling Cheok  Martin Figeac  Guillemette Marot
Affiliation:.MODAL team, Inria Lille-Nord Europe, Villeneuve-d’Ascq, France ;.Laboratoire Paul Painlevé, Université Lille 1, Villeneuve-d’Ascq, France ;.Inserm, U837, Team 3, Cancer Research Institute of Lille, Lille, France ;.Plate-forme de génomique fonctionnelle et structurale, IFR-114, Université Lille 2, Lille, France ;.EA 2694, Université Lille 2, Lille, France
Abstract:

Background

Last generations of Single Nucleotide Polymorphism (SNP) arrays allow to study copy-number variations in addition to genotyping measures.

Results

MPAgenomics, standing for multi-patient analysis (MPA) of genomic markers, is an R-package devoted to: (i) efficient segmentation and (ii) selection of genomic markers from multi-patient copy number and SNP data profiles. It provides wrappers from commonly used packages to streamline their repeated (sometimes difficult) manipulation, offering an easy-to-use pipeline for beginners in R.The segmentation of successive multiple profiles (finding losses and gains) is performed with an automatic choice of parameters involved in the wrapped packages. Considering multiple profiles in the same time, MPAgenomics wraps efficient penalized regression methods to select relevant markers associated with a given outcome.

Conclusions

MPAgenomics provides an easy tool to analyze data from SNP arrays in R. The R-package MPAgenomics is available on CRAN.
Keywords:SNP arrays   Segmentation of genomic data   Marker selection   Multi-patient analysis   R package
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