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HiCognition: a visual exploration and hypothesis testing tool for 3D genomics

Genome browsers facilitate integrated analysis of multiple genomics datasets yet visualize only a few regions at a time and lack statistical functions for extracting meaningful information. We present HiCognition, a visual exploration and machine-learning tool based on a new genomic region set conce...

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Autores principales: Langer, Christoph C. H., Mitter, Michael, Stocsits, Roman R., Gerlich, Daniel W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320903/
https://www.ncbi.nlm.nih.gov/pubmed/37408019
http://dx.doi.org/10.1186/s13059-023-02996-9
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author Langer, Christoph C. H.
Mitter, Michael
Stocsits, Roman R.
Gerlich, Daniel W.
author_facet Langer, Christoph C. H.
Mitter, Michael
Stocsits, Roman R.
Gerlich, Daniel W.
author_sort Langer, Christoph C. H.
collection PubMed
description Genome browsers facilitate integrated analysis of multiple genomics datasets yet visualize only a few regions at a time and lack statistical functions for extracting meaningful information. We present HiCognition, a visual exploration and machine-learning tool based on a new genomic region set concept, enabling detection of patterns and associations between 3D chromosome conformation and collections of 1D genomics profiles of any type. By revealing how transcription and cohesion subunit isoforms contribute to chromosome conformation, we showcase how the flexible user interface and machine learning tools of HiCognition help to understand the relationship between the structure and function of the genome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02996-9.
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spelling pubmed-103209032023-07-06 HiCognition: a visual exploration and hypothesis testing tool for 3D genomics Langer, Christoph C. H. Mitter, Michael Stocsits, Roman R. Gerlich, Daniel W. Genome Biol Software Genome browsers facilitate integrated analysis of multiple genomics datasets yet visualize only a few regions at a time and lack statistical functions for extracting meaningful information. We present HiCognition, a visual exploration and machine-learning tool based on a new genomic region set concept, enabling detection of patterns and associations between 3D chromosome conformation and collections of 1D genomics profiles of any type. By revealing how transcription and cohesion subunit isoforms contribute to chromosome conformation, we showcase how the flexible user interface and machine learning tools of HiCognition help to understand the relationship between the structure and function of the genome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02996-9. BioMed Central 2023-07-05 /pmc/articles/PMC10320903/ /pubmed/37408019 http://dx.doi.org/10.1186/s13059-023-02996-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Langer, Christoph C. H.
Mitter, Michael
Stocsits, Roman R.
Gerlich, Daniel W.
HiCognition: a visual exploration and hypothesis testing tool for 3D genomics
title HiCognition: a visual exploration and hypothesis testing tool for 3D genomics
title_full HiCognition: a visual exploration and hypothesis testing tool for 3D genomics
title_fullStr HiCognition: a visual exploration and hypothesis testing tool for 3D genomics
title_full_unstemmed HiCognition: a visual exploration and hypothesis testing tool for 3D genomics
title_short HiCognition: a visual exploration and hypothesis testing tool for 3D genomics
title_sort hicognition: a visual exploration and hypothesis testing tool for 3d genomics
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320903/
https://www.ncbi.nlm.nih.gov/pubmed/37408019
http://dx.doi.org/10.1186/s13059-023-02996-9
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