hGSuite HyperBrowser: A web-based toolkit for hierarchical metadata-informed analysis of genomic tracks.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 29 03 2023
accepted: 15 05 2023
medline: 21 7 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: epublish

Résumé

Many high-throughput sequencing datasets can be represented as objects with coordinates along a reference genome. Currently, biological investigations often involve a large number of such datasets, for example representing different cell types or epigenetic factors. Drawing overall conclusions from a large collection of results for individual datasets may be challenging and time-consuming. Meaningful interpretation often requires the results to be aggregated according to metadata that represents biological characteristics of interest. In this light, we here propose the hierarchical Genomic Suite HyperBrowser (hGSuite), an open-source extension to the GSuite HyperBrowser platform, which aims to provide a means for extracting key results from an aggregated collection of high-throughput DNA sequencing data. The hGSuite utilizes a metadata-informed data cube to calculate various statistics across the multiple dimensions of the datasets. With this work, we show that the hGSuite and its associated data cube methodology offers a quick and accessible way for exploratory analysis of large genomic datasets. The web-based toolkit named hGsuite Hyperbrowser is available at https://hyperbrowser.uio.no/hgsuite under a GPLv3 license.

Identifiants

pubmed: 37467208
doi: 10.1371/journal.pone.0286330
pii: PONE-D-23-09488
pmc: PMC10355376
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0286330

Informations de copyright

Copyright: © 2023 Kalyanasundaram et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Sumana Kalyanasundaram (S)

Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway.
Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Biomedical Informatics, Department of Informatics, University of Oslo, Oslo, Norway.

Yohan Lefol (Y)

Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Department of Microbiology, University Hospital, Oslo, Norway.

Sveinung Gundersen (S)

Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway.
Biomedical Informatics, Department of Informatics, University of Oslo, Oslo, Norway.

Torbjørn Rognes (T)

Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway.
Department of Microbiology, University Hospital, Oslo, Norway.
Biomedical Informatics, Department of Informatics, University of Oslo, Oslo, Norway.

Lene Alsøe (L)

Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Department of Microbiology, University Hospital, Oslo, Norway.

Hilde Loge Nilsen (HL)

Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Department of Microbiology, University Hospital, Oslo, Norway.

Eivind Hovig (E)

Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway.
Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Biomedical Informatics, Department of Informatics, University of Oslo, Oslo, Norway.

Geir Kjetil Sandve (GK)

Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway.
Biomedical Informatics, Department of Informatics, University of Oslo, Oslo, Norway.

Diana Domanska (D)

Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Department of Pathology, University Hospital, Oslo, Norway.

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