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Bayesian Markov models improve the prediction of binding motifs beyond first order

Transcription factors (TFs) regulate gene expression by binding to specific DNA motifs. Accurate models for predicting binding affinities are crucial for quantitatively understanding of transcriptional regulation. Motifs are commonly described by position weight matrices, which assume that each posi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:NAR Genom Bioinform
Hauptverfasser: Ge, Wanwan, Meier, Markus, Roth, Christian, Söding, Johannes
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2021
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8057495/
https://ncbi.nlm.nih.gov/pubmed/33928244
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nargab/lqab026
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