DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data.

ABSTRACT:

Background

Modeling dynamic regulatory networks is a major challenge since much of the protein-DNA interaction data available is static. The Dynamic Regulatory Events Miner (DREM) uses a Hidden Markov Model-based approach to integrate this static interaction data with time series gene expression leading to models that can determine when transcription factors (TFs) activate genes and what genes they regulate. DREM has been used successfully in diverse areas of biological research. However, several issues were not addressed by the original version.

Results

DREM 2.0 is a comprehensive software for reconstructing dynamic regulatory networks that supports interactive graphical or batch mode. With version 2.0 a set of new features that are unique in comparison with other softwares

SUBMITTER: Schulz MH 

PROVIDER: S-EPMC3464930 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature