Wu X, Watson M
Bioinformatics Group, Institute for Animal Health, Compton, RG20 7NN, UK.
Bioinformatics. 2009 Mar 15;25(6):832-3. doi: 10.1093/bioinformatics/btp059. Epub 2009 Jan 29.
With the increasing use of post-genomics techniques to examine a wide variety of biological systems in laboratories throughout the world, scientists are often presented with lists of genes that they must make sense of. A consistently challenging problem is that of defining co-regulated genes within those gene lists. In recent years, microRNAs have emerged as a mechanism for regulating several cellular processes. In this article, we report on how gene lists and microRNA targets data may be integrated to test for significant associations between gene lists and microRNAs.
We discuss CORNA, a package written in R and released under the GNU GPL, which allows users to test gene lists for significant microRNA-target associations using one of three separate statistical tests, to link microRNA targets to functional annotation and to visualize quantitative data associated with those data.
CORNA is available as an R package from http://corna.sf.net.
随着后基因组学技术在全球实验室中越来越多地用于研究各种生物系统,科学家们经常会面对一系列必须理解其含义的基因列表。一个一直具有挑战性的问题是在这些基因列表中定义共同调控的基因。近年来,微小RNA已成为调节多种细胞过程的一种机制。在本文中,我们报告了如何整合基因列表和微小RNA靶标数据,以测试基因列表与微小RNA之间的显著关联。
我们讨论了CORNA,这是一个用R编写并根据GNU GPL发布的软件包,它允许用户使用三种单独的统计测试之一来测试基因列表中是否存在显著的微小RNA-靶标关联,将微小RNA靶标与功能注释联系起来,并可视化与这些数据相关的定量数据。
CORNA可作为R软件包从http://corna.sf.net获得。