title: Cross-species Conservation of context-specific networks.
abstract: Many large data compendia on context-specific high-throughput genomic and regulatory data have been made available by international research consortia such as ENCODE, TCGA, and Epigenomics Roadmap. The use of these resources is impaired by the sheer size of the available big data and big metadata. Many of these context-specific data can be modeled as data derived regulatory networks (DDRNs) representing the complex and complicated interactions between transcription factors and target genes. These DDRNs are useful for the understanding of regulatory mechanisms and helpful for interpreting biomedical data.
  
  
  
  The Cross-species Conservation framework (CroCo) provides a network-oriented view on the ENCODE regulatory data (CroCo network repository), convenient ways to access and browse networks and metadata, and a method to combine networks across compendia, experimental techniques, and species (CroCo tool suite). DDRNs can be combined with additional information and networks derived from the literature, curated resources, and computational predictions in order to enable detailed exploration and cross checking of regulatory interactions. Applications of the CroCo framework range from simple evidence look-up for user-defined regulatory interactions to the identification of conserved sub-networks in diverse cell-lines, conditions, and even species.
  
  
  
  CroCo adds an intuitive unifying view on the data from the ENCODE projects via a comprehensive repository of derived context-specific regulatory networks and enables flexible cross-context, cross-species, and cross-compendia comparison via a basis set of analysis tools. The CroCo web-application and Cytoscape plug-in are freely available at: http://services.bio.ifi.lmu.de/croco-web . The web-page links to a detailed system description, a user guide, and tutorial videos presenting common use cases of the CroCo framework.
authors.affiliation: Institute for Informatics, Ludwig-Maximilians-Universität München, Amalienstrasse 17, München, Germany. robert.pesch@bio.ifi.lmu.de.
authors.forename: Robert
authors.identifier: 0000-0003-0497-3152
authors.initials: R
authors.lastname: Pesch
authors.affiliation: Institute for Informatics, Ludwig-Maximilians-Universität München, Amalienstrasse 17, München, Germany.
authors.forename: Ralf
authors.initials: R
authors.lastname: Zimmer
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D053263:Gene Regulatory Networks; D006801:Humans; D020014:K562 Cells; D051379:Mice; D013045:Species Specificity; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism
chemical_list: D016159:Tumor Suppressor Protein p53
keywords: Cross-species transfer; Cytoscape; ENCODE; Gene regulatory networks (GRN); Software; Web application