Transcription Factor Binding Site Enrichment Analysis in Co-Expression Modules in Celiac Disease
نویسندگان
چکیده
منابع مشابه
Integration of Known Transcription Factor Binding Site Information and Gene Expression Data to Advance from Co-Expression to Co-Regulation
The common approach to find co-regulated genes is to cluster genes based on gene expression. However, due to the limited information present in any dataset, genes in the same cluster might be co-expressed but not necessarily co-regulated. In this paper, we propose to integrate known transcription factor binding site information and gene expression data into a single clustering scheme. This sche...
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Multi-sample microarray experiments have become a standard experimental method for studying biological systems. A frequent goal in such studies is to unravel the regulatory relationships between genes. During the last few years, regression models have been proposed for the de novo discovery of cis-acting regulatory sequences using gene expression data. However, when applied to multi-sample expe...
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MOTIVATION Microarrays are widely used to measure gene expression differences between sets of biological samples. Many of these differences will be due to differences in the activities of transcription factors. In principle, these differences can be detected by associating motifs in promoters with differences in gene expression levels between the groups. In practice, this is hard to do. RESUL...
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MOTIVATION TFBS is a set of integrated, object-oriented Perl modules for transcription factor binding site detection and analysis. It implements objects representing specificity profile matrices, binding sites and sets thereof, pattern generators, and pattern database interfaces. The modules are interoperable with the BioPerl open source system. AVAILABILITY AND SUPPLEMENTARY INFORMATION The ...
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UNLABELLED Transcription factors (TFs) regulate complex programs of gene transcription by binding to short DNA sequence motifs. Here, we introduce rtfbsdb, a unified framework that integrates a database of more than 65 000 TF binding motifs with tools to easily and efficiently scan target genome sequences. Rtfbsdb clusters motifs with similar DNA sequence specificities and integrates RNA-seq or...
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ژورنال
عنوان ژورنال: Genes
سال: 2018
ISSN: 2073-4425
DOI: 10.3390/genes9050245