Department of Microbiology and Immunology, University of California San Francisco, San Francisco, California, USA.
BMC Biol. 2010 Apr 21;8:49. doi: 10.1186/1741-7007-8-49.
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.
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.
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.
随着高通量技术快速产生基因组规模的数据，将这些数据直观地整合起来以形成并检验特定假说变得越来越重要。
我们展示了 MochiView，一个与平台无关的 Java 软件，它将基因组序列、特征和数据的浏览与 DNA 基序可视化和分析集成到一个直观、用户友好的应用程序中。
虽然功能非常强大，但该软件特别适用于组织、探索和分析大型基因组数据集，例如来自深度 RNA 测序、染色质免疫沉淀实验（ChIP-Seq 和 ChIP-Chip）和转录谱分析的数据。MochiView 提供了一整套实用程序，用于识别和探索这些数据集与 DNA 或 RNA 中存在的短序列基元之间的联系。
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