4.7 Article

A framework for collaborative analysis of ENCODE data: Making large-scale analyses biologist-friendly

期刊

GENOME RESEARCH
卷 17, 期 6, 页码 960-964

出版社

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1101/gr.5578007

关键词

-

资金

  1. NHGRI NIH HHS [R01 HG002238] Funding Source: Medline
  2. NIGMS NIH HHS [R01 GM072264] Funding Source: Medline

向作者/读者索取更多资源

The standardization and sharing of data and tools are the biggest challenges of large collaborative projects such as the Encyclopedia of DNA Elements ( ENCODE). Here we describe a compact Web application, Galaxy2(ENCODE), that effectively addresses these issues. It provides an intuitive interface for the deposition and access of data, and features a vast number of analysis tools including operations on genomic intervals, utilities for manipulation of multiple sequence alignments, and molecular evolution algorithms. By providing a direct link between data and analysis tools, Galaxy2(ENCODE) allows addressing biological questions that are beyond the reach of existing software. We use Galaxy2(ENCODE) to show that the ENCODE regions contain >2000 unannotated transcripts under strong purifying selection that are likely functional. We also show that the ENCODE regions are representative of the entire genome by estimating the rate of nucleotide substitution and comparing it to published data. Although each of these analyses is complex, none takes more than 15 min from beginning to end. Finally, we demonstrate how new tools can be added to Galaxy2(ENCODE) with almost no effort. Every section of the manuscript is supplemented with QuickTime screencasts. Galaxy2(ENCODE) and the screencasts can be accessed at http://g2.bx.psu.edu.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据