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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
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author Kharerin, Hungyo
Bai, Lu
author_facet Kharerin, Hungyo
Bai, Lu
author_sort Kharerin, Hungyo
collection PubMed
description 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)
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spelling pubmed-104428892023-08-23 Predicting nucleosome positioning using statistical equilibrium models in budding yeast Kharerin, Hungyo Bai, Lu STAR Protoc Protocol 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) Elsevier 2022-12-13 /pmc/articles/PMC10442889/ /pubmed/36520634 http://dx.doi.org/10.1016/j.xpro.2022.101926 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Kharerin, Hungyo
Bai, Lu
Predicting nucleosome positioning using statistical equilibrium models in budding yeast
title Predicting nucleosome positioning using statistical equilibrium models in budding yeast
title_full Predicting nucleosome positioning using statistical equilibrium models in budding yeast
title_fullStr Predicting nucleosome positioning using statistical equilibrium models in budding yeast
title_full_unstemmed Predicting nucleosome positioning using statistical equilibrium models in budding yeast
title_short Predicting nucleosome positioning using statistical equilibrium models in budding yeast
title_sort predicting nucleosome positioning using statistical equilibrium models in budding yeast
topic Protocol
url 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
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