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

Title 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 ). Contact: mj.nueda@ua.es or aconesa@cipf.es

Apa Reference Nueda, M. J., Tarazona, S., & Conesa, A. (2014). Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series. Bioinformatics, 30(18), 2598–2602. 10.1093/bioinformatics/btu333
Doi 10.1093/bioinformatics/btu333
Publication Date 3 Jun 2014
Publication Type Software
Researcher Ana Conesa
Ontology Transcriptomics, RNA Sequencing (RNA-seq), Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Expression Profiling, Experimental design
Research Groups Genomics of Gene Expression
Tools maSigPro

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