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Open Access Highly Accessed Software

MochiView: versatile software for genome browsing and DNA motif analysis

Oliver R Homann1* and Alexander D Johnson12

Author Affiliations

1 Department of Microbiology and Immunology, University of California San Francisco, San Francisco, California, USA

2 Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, USA

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BMC Biology 2010, 8:49  doi:10.1186/1741-7007-8-49

Published: 21 April 2010

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.