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MOSim: Multi-Omics Simulation in R

Carlos Martínez-Mira, Ana Conesa, Sonia Tarazona
doi: https://doi.org/10.1101/421834
Carlos Martínez-Mira
1Genomics of Gene Expression Laboratory, Centro de Investigaciόn Príncipe Felipe, Valencia, Spain
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Ana Conesa
2Microbiology and Cell Science Department, institute for Food and Agricultural Research, University of Florida, USA
3Genetics Institute, University of Florida, Gainesville, FL, USA
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Sonia Tarazona
1Genomics of Gene Expression Laboratory, Centro de Investigaciόn Príncipe Felipe, Valencia, Spain
4Applied Statistics, Operational Research and Quality Department, Polytechnic University of Valencia, Valencia, Spain
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Abstract

Motivation As new integrative methodologies are being developed to analyse multi-omic experiments, validation strategies are required for benchmarking. In silico approaches such as simulated data are popular as they are fast and cheap. However, few tools are available for creating synthetic multi-omic data sets.

Results MOSim is a new R package for easily simulating multi-omic experiments consisting of gene expression data, other regulatory omics and the regulatory relationships between them. MOSim supports different experimental designs including time series data.

Availability The package is freely available under the GPL-3 license from the Bitbucket repository (https://bitbucket.org/ConesaLab/mosim/).

Contact cmartinez{at}cipf.es

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 20, 2018.
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MOSim: Multi-Omics Simulation in R
Carlos Martínez-Mira, Ana Conesa, Sonia Tarazona
bioRxiv 421834; doi: https://doi.org/10.1101/421834
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MOSim: Multi-Omics Simulation in R
Carlos Martínez-Mira, Ana Conesa, Sonia Tarazona
bioRxiv 421834; doi: https://doi.org/10.1101/421834

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