Next maSigPro: updating maSigPro Bioconductor package for RNA-seq time series
Fecha
Autores
Directores
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
dc.description.uri
Agradecimientos
This work has been funded by the FP7 STATegra [GA-30600] project, EU FP7 [30600] and the Spanish MINECO [BIO2012-40244].