Predicting gene regulatory networks of soybean nodulation from RNA-Seq transcriptome data.

ABSTRACT:

Background

High-throughput RNA sequencing (RNA-Seq) is a revolutionary technique to study the transcriptome of a cell under various conditions at a systems level. Despite the wide application of RNA-Seq techniques to generate experimental data in the last few years, few computational methods are available to analyze this huge amount of transcription data. The computational methods for constructing gene regulatory networks from RNA-Seq expression data of hundreds or even thousands of genes are particularly lacking and urgently needed.

Results

We developed an automated bioinformatics method to predict gene regulatory networks from the quantitative expression values of differentially expressed genes based on RNA-Seq transcriptome data of a cell in different stages and condition

SUBMITTER: Zhu M 

PROVIDER: S-EPMC3854569 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature