ImpulseDE: detection of differentially expressed genes in time series data using impulse models.

ABSTRACT:

Summary

Perturbations in the environment lead to distinctive gene expression changes within a cell. Observed over time, those variations can be characterized by single impulse-like progression patterns. ImpulseDE is an R package suited to capture these patterns in high throughput time series datasets. By fitting a representative impulse model to each gene, it reports differentially expressed genes across time points from a single or between two time courses from two experiments. To optimize running time, the code uses clustering and multi-threading. By applying ImpulseDE , we demonstrate its power to represent underlying biology of gene expression in microarray and RNA-Seq data.

Availability and implementation

ImpulseDE is available on Bioconductor ( https://bioconductor.org

SUBMITTER: Sander J 

PROVIDER: S-EPMC5859984 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature