Ng Patrick, Keich Uri
Department of Computer Science, Cornell University, Ithaca, NY 14853, USA.
Bioinformatics. 2008 Oct 1;24(19):2256-7. doi: 10.1093/bioinformatics/btn408. Epub 2008 Aug 14.
We present GIMSAN (GIbbsMarkov with Significance ANalysis): a novel tool for de novo motif finding. GIMSAN combines GibbsMarkov, our variant of the Gibbs Sampler, described here for the first time, with our recently introduced significance analysis.
GIMSAN is currently available as a web application and a stand-alone application on Unix and PBS (Portable Batch System) cluster through links from http://www.cs.cornell.edu/~keich.
我们展示了GIMSAN（具有显著性分析的吉布斯马尔可夫算法）：一种用于从头基序发现的新型工具。GIMSAN将吉布斯马尔可夫算法（我们首次在此描述的吉布斯采样器变体）与我们最近引入的显著性分析相结合。
GIMSAN目前可通过http://www.cs.cornell.edu/~keich上的链接作为网络应用程序以及在Unix和PBS（便携式批处理系统）集群上的独立应用程序使用。
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