Zhou Xin, Wang Ting
Center for Genome Sciences and Systems Biology, Department of Genetics, Washington University in St. Louis, St. Louis, Missouri.
Curr Protoc Bioinformatics. 2012 Dec;Chapter 10:10.10.1-10.10.14. doi: 10.1002/0471250953.bi1010s40.
This unit describes the Wash U Epigenome Browser, a next-generation genomic data visualization system. The Browser currently hosts ENCODE and Roadmap Epigenomics data for human and model organisms. The Browser displays many sequencing-based data sets across all or part of the genome, on specific gene sets or pathways, and in the context of their metadata. Investigators can order, filter, aggregate, classify, and display data interactively based on given feature sets including metadata features, annotated biological pathways, and user-defined collections of genes or genomic coordinates. Further, statistical tests can be performed on selected data. Individual labs can upload their sequencing or array-based data as custom tracks and display them in the context of consortium data, allowing for direct comparisons. The Browser is an increasingly important and widely accessible tool for deriving biological insights from unprecedented amounts of high-quality genomic, epigenomic, and expression data.
本单元介绍了华盛顿大学表观基因组浏览器，这是一个新一代的基因组数据可视化系统。该浏览器目前托管人类和模式生物的ENCODE及表观基因组路线图数据。浏览器可在整个基因组或部分基因组上、特定基因集或通路中以及元数据背景下显示许多基于测序的数据集。研究人员可以根据给定的特征集（包括元数据特征、注释的生物通路以及用户定义的基因或基因组坐标集合）交互式地排序、过滤、汇总、分类和显示数据。此外，还可以对选定的数据进行统计测试。各个实验室可以将其基于测序或阵列的数据作为自定义轨迹上传，并在联盟数据的背景下显示，以便进行直接比较。该浏览器对于从前所未有的大量高质量基因组、表观基因组和表达数据中获取生物学见解而言，正日益成为一个重要且广泛可用的工具。
