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An approach to predict transcription factor DNA binding site specificity based upon gene and transcription factor functional categorization
Author(s) -
Ziliang Qian,
Lingyi Lu,
Xiaojun Liu,
YuDong Cai,
Yixue Li
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm348
Subject(s) - transcription factor , dna binding site , computational biology , categorization , genetics , gene , dna , biology , transcription (linguistics) , taf2 , general transcription factor , sp3 transcription factor , factor (programming language) , promoter , computer science , gene expression , enhancer , artificial intelligence , linguistics , philosophy , programming language
To understand transcription regulatory mechanisms, it is indispensable to investigate transcription factor (TF) DNA binding preferences. We noted that the generally acknowledged information of functional annotations of TFs as well as that of their target genes should provide useful hints in determining TF DNA binding preferences.

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