树状吉布斯采样器：无需比对直系同源序列即可识别保守基序。
Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences.
作者信息
Cai Xiaohui, Hu Haiyan, Li Xiaoman Shawn
机构信息
Division of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
出版信息
Bioinformatics. 2007 Aug 1;23(15):2013-4. doi: 10.1093/bioinformatics/btm282. Epub 2007 May 31.
SUMMARY
Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory elements in multiple genomes of both closely related and distant species.
AVAILABILITY
The Tree Gibbs Sampler software is freely downloadable at https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs
摘要
树形吉布斯采样器是一款通过同时利用基序过度表达特性和基序进化保守特性来识别基序的软件。它无需依赖预先比对的直系同源序列即可识别基序，这使其在提取亲缘关系近和远的多个物种基因组中的调控元件时很有用。
可用性
树形吉布斯采样器软件可在https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs免费下载。
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