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BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data
Author(s) -
Juhani Kähärä,
Harri Lähdesmäki
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv294
Subject(s) - hypersensitive site , dna binding site , transcription factor , encode , computational biology , chromatin , dna , dnase i hypersensitive site , binding site , dna sequencing , transcription (linguistics) , biology , deoxyribonuclease i , computer science , genetics , gene , promoter , gene expression , base sequence , linguistics , philosophy
Transcription factors (TFs) are a class of DNA-binding proteins that have a central role in regulating gene expression. To reveal mechanisms of transcriptional regulation, a number of computational tools have been proposed for predicting TF-DNA interaction sites. Recent studies have shown that genome-wide sequencing data on open chromatin sites from a DNase I hypersensitivity experiments (DNase-seq) has a great potential to map putative binding sites of all transcription factors in a single experiment. Thus, computational methods for analysing DNase-seq to accurately map TF-DNA interaction sites are highly needed.

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