TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network

TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network

Abstract Background Transcription factor (TF) networks play a key role in controlling the transfer of genetic information from gene to mRNA. Much progress has been made on understanding and reverse-engineering TF network topologies using a range of experimental and theoretical methodologies. Less wo...

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Bibliographic Details
Main Authors: Namshik Han, Harry A. Noyes, Andy Brass
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Bioinformatics
Subjects:
Machine Learning
Transcriptional regulatory network
Transcription factor binding site
Gene expression
Online Access:http://link.springer.com/article/10.1186/s12859-017-1636-6

Internet

http://link.springer.com/article/10.1186/s12859-017-1636-6

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