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Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series.


ABSTRACT: MOTIVATION: The widespread adoption of RNA-seq to quantitatively measure gene expression has increased the scope of sequencing experimental designs to include time-course experiments. maSigPro is an R package specifically suited for the analysis of time-course gene expression data, which was developed originally for microarrays and hence was limited in its application to count data. RESULTS: We have updated maSigPro to support RNA-seq time series analysis by introducing generalized linear models in the algorithm to support the modeling of count data while maintaining the traditional functionalities of the package. We show a good performance of the maSigPro-GLM method in several simulated time-course scenarios and in a real experimental dataset. AVAILABILITY AND IMPLEMENTATION: The package is freely available under the LGPL license from the Bioconductor Web site (http://bioconductor.org).

SUBMITTER: Nueda MJ 

PROVIDER: S-EPMC4155246 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series.

Nueda María José MJ   Tarazona Sonia S   Conesa Ana A  

Bioinformatics (Oxford, England) 20140603 18


<h4>Motivation</h4>The widespread adoption of RNA-seq to quantitatively measure gene expression has increased the scope of sequencing experimental designs to include time-course experiments. maSigPro is an R package specifically suited for the analysis of time-course gene expression data, which was developed originally for microarrays and hence was limited in its application to count data.<h4>Results</h4>We have updated maSigPro to support RNA-seq time series analysis by introducing generalized  ...[more]

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