title: Utilizing RNA-Seq data for de novo coexpression network inference.
abstract: BACKGROUND
  RNA-Seq experiments have shown great potential for transcriptome profiling. While sequencing increases the level of biological detail, integrative data analysis is also important. One avenue is the construction of coexpression networks. Because the capacity of RNA-Seq data for network construction has not been previously evaluated, we constructed a coexpression network using striatal samples, derived its network properties and compared it with microarray-based networks.
  
  
  RESULTS
  The RNA-Seq coexpression network displayed scale-free, hierarchical network structure. We detected transcripts groups (modules) with correlated profiles; modules overlap distinct ontology categories. Neuroanatomical data from the Allen Brain Atlas reveal several modules with spatial colocalization. The network was compared with microarray-derived networks; correlations from RNA-Seq data were higher, likely because greater sensitivity and dynamic range. Higher correlations result in higher network connectivity, heterogeneity and centrality. For transcripts present across platforms, network structure appeared largely preserved. From this study, we present the first RNA-Seq data de novo network inference.
authors.affiliation: Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239-3098, USA. iancuo@ohsu.edu
authors.forename: Ovidiu D
authors.initials: OD
authors.lastname: Iancu
authors.forename: Sunita
authors.initials: S
authors.lastname: Kawane
authors.forename: Daniel
authors.initials: D
authors.lastname: Bottomly
authors.forename: Robert
authors.initials: R
authors.lastname: Searles
authors.forename: Robert
authors.initials: R
authors.lastname: Hitzemann
authors.forename: Shannon
authors.initials: S
authors.lastname: McWeeney
mesh_terms: D000818:Animals; D020869:Gene Expression Profiling / Q000379:methods*; D053263:Gene Regulatory Networks; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D008811:Mice, Inbred DBA; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D012313:RNA / Q000235:genetics; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D012313:RNA