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从芯片免疫沉淀、基序和微阵列数据推断转录模块。

Inferring transcriptional modules from ChIP-chip, motif and microarray data.

作者信息

Lemmens Karen, Dhollander Thomas, De Bie Tijl, Monsieurs Pieter, Engelen Kristof, Smets Bart, Winderickx Joris, De Moor Bart, Marchal Kathleen

机构信息

BIOI@SCD, Department of Electrical Engineering, KU Leuven, Kasteelpark Arenberg, B-3001 Heverlee, Belgium.

出版信息

Genome Biol. 2006;7(5):R37. doi: 10.1186/gb-2006-7-5-r37. Epub 2006 May 5.

DOI:10.1186/gb-2006-7-5-r37
PMID:16677396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1779513/
Abstract

'ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corresponding motifs to a set of co-expressed genes. It exploits in a concurrent way three independent data sources: ChIP-chip data, motif information and gene expression profiles. When compared to published module discovery algorithms, ReMoDiscovery is fast and easily tunable. We evaluated our method on yeast data, where it was shown to generate biologically meaningful findings and allowed the prediction of potential novel roles of transcriptional regulators.

摘要

“ReMoDiscovery”是一种直观的算法,用于将调控程序与调控因子以及相应的基序与一组共表达基因进行关联。它以并行方式利用三个独立的数据源:芯片杂交数据、基序信息和基因表达谱。与已发表的模块发现算法相比,ReMoDiscovery速度快且易于调整。我们在酵母数据上评估了我们的方法,结果表明它能产生具有生物学意义的发现,并能预测转录调控因子的潜在新作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/b302a0e9d746/gb-2006-7-5-r37-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/681650e61503/gb-2006-7-5-r37-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/e5d02475f2cc/gb-2006-7-5-r37-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/b302a0e9d746/gb-2006-7-5-r37-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/681650e61503/gb-2006-7-5-r37-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/e5d02475f2cc/gb-2006-7-5-r37-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fe/1779513/b302a0e9d746/gb-2006-7-5-r37-3.jpg

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