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Data integration for inferring context-specific gene regulatory networks.

ABSTRACT: Transcriptional regulatory networks control context-specific gene expression patterns and play important roles in normal and disease processes. Advances in genomics are rapidly increasing our ability to measure different components of the regulation machinery at the single-cell and bulk population level. An important challenge is to combine different types of regulatory genomic measurements to construct a more complete picture of gene regulatory networks across different disease, environmental, and developmental contexts. In this review, we focus on recent computational methods that integrate regulatory genomic data sets to infer context specificity and dynamics in regulatory networks.

SUBMITTER: Baur B

PROVIDER: S-EPMC7676633 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Data integration for inferring context-specific gene regulatory networks.

Baur Brittany B Shin Junha J Zhang Shilu S Roy Sushmita S

Current opinion in systems biology 20200922

Transcriptional regulatory networks control context-specific gene expression patterns and play important roles in normal and disease processes. Advances in genomics are rapidly increasing our ability to measure different components of the regulation machinery at the single-cell and bulk population level. An important challenge is to combine different types of regulatory genomic measurements to construct a more complete picture of gene regulatory networks across different disease, environmental, ...[more]

PMID: 33225112

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