title: MochiView: versatile software for genome browsing and DNA motif analysis.
abstract: BACKGROUND
  As high-throughput technologies rapidly generate genome-scale data, it becomes increasingly important to visually integrate these data so that specific hypotheses can be formulated and tested.
  
  
  RESULTS
  We present MochiView, a platform-independent Java software that integrates browsing of genomic sequences, features, and data with DNA motif visualization and analysis in a visually-appealing and user-friendly application.
  
  
  CONCLUSIONS
  While highly versatile, the software is particularly useful for organizing, exploring, and analyzing large genomic data sets, such as those from deep RNA sequencing, chromatin immunoprecipitation experiments (ChIP-Seq and ChIP-Chip), and transcriptional profiling. MochiView provides an extensive suite of utilities to identify and to explore connections between these data sets and short sequence motifs present in DNA or RNA.
authors.affiliation: Department of Microbiology and Immunology, University of California San Francisco, San Francisco, California, USA. oliver.homann@ucsf.edu
authors.forename: Oliver R
authors.initials: OR
authors.lastname: Homann
authors.forename: Alexander D
authors.initials: AD
authors.lastname: Johnson
mesh_terms: D001483:Base Sequence / Q000235:genetics*; D047369:Chromatin Immunoprecipitation / Q000379:methods; D023281:Genomics / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software
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