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基于整合模型的转录因子结合位点的全基因组预测。

Genome-wide prediction of transcription factor binding sites using an integrated model.

机构信息

University of California, San Diego, Department of Chemistry and Biochemistry, 9500 Gilman Drive, La Jolla, CA 92093, USA.

出版信息

Genome Biol. 2010 Jan 22;11(1):R7. doi: 10.1186/gb-2010-11-1-r7.

Abstract

We present an integrated method called Chromia for the genome-wide identification of functional target loci of transcription factors. Designed to capture the characteristic patterns of transcription factor binding motif occurrences and the histone profiles associated with regulatory elements such as promoters and enhancers, Chromia significantly outperforms other methods in the identification of 13 transcription factor binding sites in mouse embryonic stem cells, evaluated by both binding (ChIP-seq) and functional (RNA interference knockdown) experiments.

摘要

我们提出了一种名为 Chromia 的综合方法,用于在全基因组范围内鉴定转录因子的功能靶标位点。该方法旨在捕获转录因子结合基序出现的特征模式和与调节元件(如启动子和增强子)相关的组蛋白谱,在通过结合(ChIP-seq)和功能(RNA 干扰敲低)实验评估的 13 个在小鼠胚胎干细胞中的转录因子结合位点的鉴定中,Chromia 的性能明显优于其他方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/442c/2847719/206d0f035b08/gb-2010-11-1-r7-1.jpg

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