Ontology highlight
ABSTRACT:
SUBMITTER: Koch C
PROVIDER: S-EPMC5515301 | biostudies-literature | 2017 May
REPOSITORIES: biostudies-literature
Koch Christopher C Konieczka Jay J Delorey Toni T Lyons Ana A Socha Amanda A Davis Kathleen K Knaack Sara A SA Thompson Dawn D O'Shea Erin K EK Regev Aviv A Roy Sushmita S
Cell systems 20170501 5
Changes in transcriptional regulatory networks can significantly contribute to species evolution and adaptation. However, identification of genome-scale regulatory networks is an open challenge, especially in non-model organisms. Here, we introduce multi-species regulatory network learning (MRTLE), a computational approach that uses phylogenetic structure, sequence-specific motifs, and transcriptomic data, to infer the regulatory networks in different species. Using simulated data from known net ...[more]