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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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) |
format | Online Article Text |
id | pubmed-10442889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kharerinhungyo predictingnucleosomepositioningusingstatisticalequilibriummodelsinbuddingyeast AT bailu predictingnucleosomepositioningusingstatisticalequilibriummodelsinbuddingyeast |