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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

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Published on: March 1, 2024

Understanding transcriptional regulatory networks using computational models.

Bing He¹, Kai Tan²

¹Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA 52242, USA.

Current Opinion in Genetics & Development

|March 8, 2016

Summary

This study reviews computational methods for building transcriptional regulatory network (TRN) models from genome-scale data. It highlights TRN applications in development and disease, and discusses future research directions for improved accuracy and cross-species comparisons.

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Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

Area of Science:

Genomics
Computational Biology
Systems Biology

Background:

Transcriptional regulatory networks (TRNs) are crucial for animal development and physiological processes.
Advances in genomic technologies and computational modeling enable sophisticated TRN construction.
Understanding TRNs is key to deciphering biological complexity.

Purpose of the Study:

To survey current computational methods for inferring TRN models using genome-scale data.
To discuss the advantages and limitations of these inference methods.
To summarize TRNs in normal and disease development and explore their structure-function relationships.

Main Methods:

Review of computational algorithms for TRN inference.
Analysis of genome-scale datasets for TRN construction.
Examination of existing large-scale TRN models.

Main Results:

Overview of diverse computational approaches for TRN inference.
Examples of TRNs applied to normal and disease states.
Insights into the structure-function dynamics of TRNs.

Conclusions:

TRN models provide valuable insights into biological regulation.
Future work should focus on integrating diverse data types to enhance model accuracy.
Inferring condition-specific and cross-species TRNs is essential for deeper understanding.