Genexpi: a toolset for identifying regulons and validating gene regulatory networks using time-course expression data

Abstract Background Identifying regulons of sigma factors is a vital subtask of gene network inference. Integrating multiple sources of data is essential for correct identification of regulons and complete gene regulatory networks. Time series of expression data measured with microarrays or RNA-seq...

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Bibliographic Details
Main Authors: Martin Modrák, Jiří Vohradský
Format: Article
Language:English
Published: BMC 2018-04-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-018-2138-x