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Predicting nucleosome positioning using statistical equilibrium models in budding yeast

We present a protocol using thermodynamic models to predict nucleosome positioning with transcription factors (TFs) and chromatin remodelers. We describe step-by-step approaches to annotate genome-wide nucleosome-depleted regions (NDRs), compute nucleosome and TF occupancy, optimize parameters, and...

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Detalles Bibliográficos
Autores principales: Kharerin, Hungyo, Bai, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442889/
https://www.ncbi.nlm.nih.gov/pubmed/36520634
http://dx.doi.org/10.1016/j.xpro.2022.101926
Descripción
Sumario:We present a protocol using thermodynamic models to predict nucleosome positioning with transcription factors (TFs) and chromatin remodelers. We describe step-by-step approaches to annotate genome-wide nucleosome-depleted regions (NDRs), compute nucleosome and TF occupancy, optimize parameters, and evaluate model performance. These models identify nucleosome-displacing TFs in the budding yeast genome and predict the locations and sizes of NDRs solely based on DNA sequence and TF motifs. The protocol can be applied to all organisms with prior knowledge of TF motifs. For complete details on the use and execution of this protocol, please refer to Kharerin and Bai (2021).(1)