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Bioinformatics. 2018 Feb 1;34(3):524-526. doi: 10.1093/bioinformatics/btx578.

Identification and visualization of differential isoform expression in RNA-seq time series.

Author information

1
Mathematics Department, University of Alicante, Alicante 03690, Spain.
2
Genomics of Gene Expression Laboratory, Centro de Investigación Príncipe Felipe, Valencia 42012, Spain.
3
Applied Statistics, Operational Research and Quality Department, Politechnic University of Valencia, Valencia 46020, Spain.
4
Microbiology and Cell Science Department, Institute for Food and Agricultural Research, University of Florida, FL 32611, USA.

Abstract

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.

PMID:
28968682
PMCID:
PMC5860359
DOI:
10.1093/bioinformatics/btx578
[Indexed for MEDLINE]
Free PMC Article

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