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Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators.

ABSTRACT: Complex organisms originate from and are maintained by the information encoded in the genome. A major challenge of systems biology is to develop algorithms that describe the dynamic regulation of genome functions from large omics datasets. Here, we describe TETRAMER, which reconstructs gene-regulatory networks from temporal transcriptome data during cell fate transitions to predict "master" regulators by simulating cascades of temporal transcription-regulatory events.

SUBMITTER: Cholley PE 

PROVIDER: S-EPMC6070484 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators.

Cholley Pierre-Etienne PE   Moehlin Julien J   Rohmer Alexia A   Zilliox Vincent V   Nicaise Samuel S   Gronemeyer Hinrich H   Mendoza-Parra Marco Antonio MA  

NPJ systems biology and applications 20180802

Complex organisms originate from and are maintained by the information encoded in the genome. A major challenge of systems biology is to develop algorithms that describe the dynamic regulation of genome functions from large omics datasets. Here, we describe TETRAMER, which reconstructs gene-regulatory networks from temporal transcriptome data during cell fate transitions to predict "master" regulators by simulating cascades of temporal transcription-regulatory events. ...[more]

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