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CGHweb:一种用于比较多种算法得出的DNA拷贝数分割结果的工具。

CGHweb: a tool for comparing DNA copy number segmentations from multiple algorithms.

作者信息

Lai Weil, Choudhary Vidhu, Park Peter J

机构信息

Harvard-Partners Center for Genetics and Genomics and Informatics Program, Children's Hospital, Boston, MA 02139, USA.

出版信息

Bioinformatics. 2008 Apr 1;24(7):1014-5. doi: 10.1093/bioinformatics/btn067. Epub 2008 Feb 22.

Abstract

UNLABELLED

Accurate estimation of DNA copy numbers from array comparative genomic hybridization (CGH) data is important for characterizing the cancer genome. An important part of this process is the segmentation of the log-ratios between the sample and control DNA along the chromosome into regions of different copy numbers. However, multiple algorithms are available in the literature for this procedure and the results can vary substantially among these. Thus, a visualization tool that can display the segmented profiles from a number of methods can be helpful to the biologist or the clinician to ascertain that a feature of interest did not arise as an artifact of the algorithm. Such a tool also allows the methodologist to easily contrast his method against others. We developed a web-based tool that applies a number of popular algorithms to a single array CGH profile entered by the user. It generates a heatmap panel of the segmented profiles for each method as well as a consensus profile. The clickable heatmap can be moved along the chromosome and zoomed in or out. It also displays the time that each algorithm took and provides numerical values of the segmented profiles for download. The web interface calls algorithms written in the statistical language R. We encourage developers of new algorithms to submit their routines to be incorporated into the website.

AVAILABILITY

http://compbio.med.harvard.edu/CGHweb.

摘要

未标注

从阵列比较基因组杂交(CGH)数据中准确估计DNA拷贝数对于表征癌症基因组很重要。该过程的一个重要部分是将样本与对照DNA沿染色体的对数比值分割成不同拷贝数的区域。然而,文献中有多种算法可用于此过程,并且这些算法的结果可能有很大差异。因此,一种能够显示多种方法分割后的图谱的可视化工具,对于生物学家或临床医生确定感兴趣的特征不是算法的人为产物可能会有所帮助。这样的工具还允许方法学家轻松地将自己的方法与其他方法进行对比。我们开发了一种基于网络的工具,该工具将多种流行算法应用于用户输入的单个阵列CGH图谱。它为每种方法生成一个分割图谱的热图面板以及一个共识图谱。可点击的热图可以沿染色体移动并放大或缩小。它还显示每种算法所用的时间,并提供分割图谱的数值以供下载。网络界面调用用统计语言R编写的算法。我们鼓励新算法的开发者提交他们的程序,以便纳入该网站。

可用性

http://compbio.med.harvard.edu/CGHweb

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