2014k07b香蕉lncrna测序结果-igv安装与使用指南

1、IGV 安装与使用指南一、概括简介egrative Genomics Viewer (IGV): high-performance genomics data visualization and explorationBrief BioinformThorvaldsdottir, H. Robinson, J. T. Mesirov, J. P.Data visualization is an essential component of genomic dataysis. However, the size and diversity of the data sets produced by

2、 todays sequencing and array-based profiling methods present major challenges to visualization tools. Theegrative Genomics Viewer (IGV) is a high-performance viewert efficiently handles large heterogeneous data sets, while providing a smooth anduitive user experience at all levels of genome resoluti

3、on. A key characteristic of IGV is its focus on theegrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and theegration ofclinical and phenotypic data. Although IGV is often used to view genomic data from public sour, its primary emphasis is tosu

4、pport researchers who wish to visualize and explore their own data sets or those from colleagues. Tot end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available

5、 for download fromPL open-source license., under a GNU LG整合组学查看器（IGV）：高性能组学数据可视化和探索数据可视化是组数据分析的一个主要组件。但是，由今天的和基于阵列的谱方法产生的数据集的大小和多样性为可视化工具提出了主要的。组学查看器（egrative Genomics Viewer，IGV）是一个高性能查看器，它高效地处理大量异质性数据集，然而在所有水平的整合组分辨率上提供了一种平滑且直观的用户体验。IGV 的一个关键特征是它集中于组研究的整合性质，对基于阵列的数据和下一代数据，及临床数据和表型数据整合的支持。尽管 IGV 经常

6、被用于查看来自公共来源的组数据，但是它的重点是支持想要可视化及探索他们自己的数据集或来自同事的数据集的研究者。为此，IGV 支持本地及数据集的灵活载入，并被优化以提供在标准桌面系统上进行高性能的数据可视化和探索。IGV 在遵守 GNULGPL 开源获得。jrobinsobroadinstitute.证下可以免费从。二、IGV 安装1.登录 IGV（egrative Genomics Viewer）主页2. 进入界面1)按照 IGV 程序之前，您需要先安装版本的 JAVA（至少 V6.0 以上版本）htt/technetwork/java/javase/downloads/jdk7-downloads-1880260.html2)Windows 用户运行该程序，消耗的内存需求3)Windows 用户的程序3.安装成功，桌面上显示4.打开 IGV 程序第一次打开，由于缓冲组数据库，请耐心等待几分钟5.O. Sativa (release 7) （以水稻为例）。6. Viewing Alignments数据载入（提供比对结果文件*.sam *.bam格式）该部分具体说明，请参考7.以水稻样本为例，载入 tophat_r