{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T14:26:36Z","timestamp":1773411996330,"version":"3.50.1"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,6,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: 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.<\/jats:p>\n               <jats:p>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.<\/jats:p>\n               <jats:p>Contact: \u00a0iancuo@ohsu.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts245","type":"journal-article","created":{"date-parts":[[2012,5,4]],"date-time":"2012-05-04T00:59:48Z","timestamp":1336093188000},"page":"1592-1597","source":"Crossref","is-referenced-by-count":101,"title":["Utilizing RNA-Seq data for <i>de novo<\/i> coexpression network inference"],"prefix":"10.1093","volume":"28","author":[{"given":"Ovidiu D.","family":"Iancu","sequence":"first","affiliation":[{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"}]},{"given":"Sunita","family":"Kawane","sequence":"additional","affiliation":[{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"}]},{"given":"Daniel","family":"Bottomly","sequence":"additional","affiliation":[{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"}]},{"given":"Robert","family":"Searles","sequence":"additional","affiliation":[{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"}]},{"given":"Robert","family":"Hitzemann","sequence":"additional","affiliation":[{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"},{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"}]},{"given":"Shannon","family":"McWeeney","sequence":"additional","affiliation":[{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"},{"name":"1 Department of Behavioral Neuroscience, 2Oregon Clinical and Translational Research Institute and 3Massively Parallel Sequencing Shared Resource, Oregon Health & Science University, Portland, OR 97239-3098, USA, 4Research Service, Veterans Affairs Medical Center, Portland, OR 97239-3098, USA and 5Department of Biostatistics, Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR 97239-3098, USA"}]}],"member":"286","published-online":{"date-parts":[[2012,5,3]]},"reference":[{"key":"2023012512324989100_B1","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1093\/bioinformatics\/btl140","article-title":"Improved scoring of functional groups from gene expression data by decorrelating GO graph 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