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Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data
SUMMARY: The regulation of genes by cis-regulatory elements (CREs) is complex and differs between cell types. Visual analysis of large collections of chromatin profiles across diverse cell types, integrated with computational methods, can reveal meaningful biological insights. We developed Cistrome...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900209/ https://www.ncbi.nlm.nih.gov/pubmed/36688700 http://dx.doi.org/10.1093/bioinformatics/btad018 |
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author | L’Yi, Sehi Keller, Mark S Dandawate, Ariaki Taing, Len Chen, Chen-Hao Brown, Myles Meyer, Clifford A Gehlenborg, Nils |
author_facet | L’Yi, Sehi Keller, Mark S Dandawate, Ariaki Taing, Len Chen, Chen-Hao Brown, Myles Meyer, Clifford A Gehlenborg, Nils |
author_sort | L’Yi, Sehi |
collection | PubMed |
description | SUMMARY: The regulation of genes by cis-regulatory elements (CREs) is complex and differs between cell types. Visual analysis of large collections of chromatin profiles across diverse cell types, integrated with computational methods, can reveal meaningful biological insights. We developed Cistrome Explorer, a web-based interactive visual analytics tool for exploring thousands of chromatin profiles in diverse cell types. Integrated with the Cistrome Data Browser database which contains thousands of ChIP-seq, DNase-seq and ATAC-seq samples, Cistrome Explorer enables the discovery of patterns of CREs across cell types and the identification of transcription factor binding underlying these patterns. AVAILABILITY AND IMPLEMENTATION: Cistrome Explorer and its source code are available at http://cisvis.gehlenborglab.org/ and released under the MIT License. Documentation can be accessed via http://cisvis.gehlenborglab.org/docs/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9900209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99002092023-02-07 Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data L’Yi, Sehi Keller, Mark S Dandawate, Ariaki Taing, Len Chen, Chen-Hao Brown, Myles Meyer, Clifford A Gehlenborg, Nils Bioinformatics Applications Note SUMMARY: The regulation of genes by cis-regulatory elements (CREs) is complex and differs between cell types. Visual analysis of large collections of chromatin profiles across diverse cell types, integrated with computational methods, can reveal meaningful biological insights. We developed Cistrome Explorer, a web-based interactive visual analytics tool for exploring thousands of chromatin profiles in diverse cell types. Integrated with the Cistrome Data Browser database which contains thousands of ChIP-seq, DNase-seq and ATAC-seq samples, Cistrome Explorer enables the discovery of patterns of CREs across cell types and the identification of transcription factor binding underlying these patterns. AVAILABILITY AND IMPLEMENTATION: Cistrome Explorer and its source code are available at http://cisvis.gehlenborglab.org/ and released under the MIT License. Documentation can be accessed via http://cisvis.gehlenborglab.org/docs/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2023-01-23 /pmc/articles/PMC9900209/ /pubmed/36688700 http://dx.doi.org/10.1093/bioinformatics/btad018 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note L’Yi, Sehi Keller, Mark S Dandawate, Ariaki Taing, Len Chen, Chen-Hao Brown, Myles Meyer, Clifford A Gehlenborg, Nils Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data |
title | Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data |
title_full | Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data |
title_fullStr | Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data |
title_full_unstemmed | Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data |
title_short | Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data |
title_sort | cistrome explorer: an interactive visual analysis tool for large-scale epigenomic data |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900209/ https://www.ncbi.nlm.nih.gov/pubmed/36688700 http://dx.doi.org/10.1093/bioinformatics/btad018 |
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