title: Integrated genome browser: visual analytics platform for genomics.
abstract: Genome browsers that support fast navigation through vast datasets and provide interactive visual analytics functions can help scientists achieve deeper insight into biological systems. Toward this end, we developed Integrated Genome Browser (IGB), a highly configurable, interactive and fast open source desktop genome browser.
  
  
  
  Here we describe multiple updates to IGB, including all-new capabilities to display and interact with data from high-throughput sequencing experiments. To demonstrate, we describe example visualizations and analyses of datasets from RNA-Seq, ChIP-Seq and bisulfite sequencing experiments. Understanding results from genome-scale experiments requires viewing the data in the context of reference genome annotations and other related datasets. To facilitate this, we enhanced IGB's ability to consume data from diverse sources, including Galaxy, Distributed Annotation and IGB-specific Quickload servers. To support future visualization needs as new genome-scale assays enter wide use, we transformed the IGB codebase into a modular, extensible platform for developers to create and deploy all-new visualizations of genomic data.
  
  
  
  IGB is open source and is freely available from http://bioviz.org/igb
  
  
  
  aloraine@uncc.edu.
authors.affiliation: Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, NC 28081, USA.
authors.forename: Nowlan H
authors.initials: NH
authors.lastname: Freese
authors.affiliation: Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, NC 28081, USA.
authors.forename: David C
authors.initials: DC
authors.lastname: Norris
authors.affiliation: Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, NC 28081, USA.
authors.forename: Ann E
authors.initials: AE
authors.lastname: Loraine
mesh_terms: D000818:Animals; D047369:Chromatin Immunoprecipitation; D019295:Computational Biology / Q000379:methods*; D016678:Genome; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D017423:Sequence Analysis, RNA; D012984:Software; D014584:User-Computer Interface