Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series.
Where this comes from
- Record sourced from PubMed, PMID 24894503.
- Also identified by DOI 10.1093/bioinformatics/btu333 and PMC identifier 4155246.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. 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. The package is freely available under the LGPL license from the Bioconductor Web site (http://bioconductor.org).
Medical subject headings
- Computational Biology
- Gene Expression Profiling
- Sequence Analysis, RNA