Disentangling transcription factor binding site complexity
نویسندگان
چکیده
منابع مشابه
Dynamics of Transcription Factor Binding Site Evolution
Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key regulatory mechanism that determines gene expression and hence heritable phenotypic variation. We use a biophysical model for directional selection on gene expres...
متن کاملTranscription factor-DNA binding: beyond binding site motifs.
Sequence-specific transcription factors (TFs) regulate gene expression by binding to cis-regulatory elements in promoter and enhancer DNA. While studies of TF-DNA binding have focused on TFs' intrinsic preferences for primary nucleotide sequence motifs, recent studies have elucidated additional layers of complexity that modulate TF-DNA binding. In this review, we discuss technological developme...
متن کاملVarying levels of complexity in transcription factor binding motifs
Binding of transcription factors to DNA is one of the keystones of gene regulation. The existence of statistical dependencies between binding site positions is widely accepted, while their relevance for computational predictions has been debated. Building probabilistic models of binding sites that may capture dependencies is still challenging, since the most successful motif discovery approache...
متن کاملSiTaR: a novel tool for transcription factor binding site prediction
MOTIVATION Prediction of transcription factor binding sites (TFBSs) is crucial for promoter modeling and network inference. Quality of the predictions is spoiled by numerous false positives, which persist as the main problem for all presently available TFBS search methods. RESULTS We suggest a novel approach, which is alternative to widely used position weight matrices (PWMs) and Hidden Marko...
متن کاملA web server for transcription factor binding site prediction
UNLABELLED Promoter prediction has gained increased attention in studies related to transcriptional regulation of gene expression. We developed a web server named PMSearch (Poly Matrix Search) which utilizes Position Frequency Matrices (PFMs) to predict transcription factor binding sites (TFBSs) in DNA sequences. PMSearch takes PFMs (either user-defined or retrieved from local dataset which cur...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2018
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gky683