Next maSigPro: updating maSigPro Bioconductor package for RNA-seq time series

Handle

https://riunet.upv.es/handle/10251/63346

Cita bibliográfica

Nueda, MJ.; Tarazona Campos, 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

Titulación

Resumen

[EN] 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)

Palabras clave

Differential expression analysis, Gene, Depth, Course microarray experiments, Normalization, Sequence

ISSN

1367-4803

ISBN

Fuente

Bioinformatics

DOI

10.1093/bioinformatics/btu333

Versión del editor

https://dx.doi.org/10.1093/bioinformatics/btu333

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