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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. © 2010 Homann and Johnson; licensee BioMed Central Ltd.
Homann, O. R., & Johnson, A. D. (2010). MochiView: Versatile software for genome browsing and DNA motif analysis. BMC Biology, 8. https://doi.org/10.1186/1741-7007-8-49