Motivation: As sequencing technologies improve their capacity to detect distinct transcripts of the same gene and to address complex experimental designs such as longitudinal studies, there is a need to develop statistical methods for the analysis of isoform expression changes in time series data.
Results: Iso-maSigPro is a new functionality of the R package maSigPro for transcriptomics time series data analysis. Iso-maSigPro identifies genes with a differential isoform usage across time. The package also includes new clustering and visualization functions that allow grouping of genes with similar expression patterns at the isoform level, as well as those genes with a shift in major expressed isoform.
Availability and implementation: The package is freely available under the LGPL license from the Bioconductor web site.
Contact: mj.nueda@ua.es or aconesa@ufl.edu.
Supplementary information: Supplementary data are available at Bioinformatics online.
Published by Oxford University Press 2017. This work is written by US Government employees and are in the public domain in the US.