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).
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CITATION STYLE
Nueda, M. J., Tarazona, S., & Conesa, A. (2014). Next maSigPro: Updating maSigPro bioconductor package for RNA-seq time series. Bioinformatics, 30(18), 2598–2602. https://doi.org/10.1093/bioinformatics/btu333
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