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http://hdl.handle.net/1942/42572
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DC Field | Value | Language |
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dc.contributor.author | HEYLEN, Dries | - |
dc.contributor.author | PEETERS, Jannes | - |
dc.contributor.author | AERTS, Jan | - |
dc.contributor.author | Ertaylan, Gokhan | - |
dc.contributor.author | HOOYBERGHS, Jef | - |
dc.date.accessioned | 2024-03-11T09:22:43Z | - |
dc.date.available | 2024-03-11T09:22:43Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2024-03-11T09:00:54Z | - |
dc.identifier.citation | PLoS One, 18 (12) (Art N° e0295361) | - |
dc.identifier.uri | http://hdl.handle.net/1942/42572 | - |
dc.description.abstract | One of the challenges in multi-omics data analysis for precision medicine is the efficient exploration of undiscovered molecular interactions in disease processes. We present BioMOBS, a workflow consisting of two data visualization tools integrated with an open-source molecular information database to perform clinically relevant analyses (https://github.com/driesheylen123/BioMOBS). We performed exploratory pathway analysis with BioMOBS and demonstrate its ability to generate relevant molecular hypotheses, by reproducing recent findings in type 2 diabetes UK biobank data. The central visualisation tool, where data-driven and literature-based findings can be integrated, is available within the github link as well. BioMOBS is a workflow that leverages information from multiple data-driven interactive analyses and visually integrates it with established pathway knowledge. The demonstrated use cases place trust in the usage of BioMOBS as a procedure to offer clinically relevant insights in disease pathway analyses on various types of omics data. | - |
dc.description.sponsorship | Funding DH and JP are funded through Hasselt University BOF grants (BOF20OWB29 \& BOF20OWB33). D.H. also receives funding from VITO NV (R-11362). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Acknowledgments This research has been conducted using the UK Biobank Resource under Application Number 71521. | - |
dc.language.iso | en | - |
dc.publisher | PUBLIC LIBRARY SCIENCE | - |
dc.rights | 2023 Heylen 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. | - |
dc.subject.other | Humans | - |
dc.subject.other | Multiomics | - |
dc.subject.other | Workflow | - |
dc.subject.other | Software | - |
dc.subject.other | Diabetes Mellitus, Type 2 | - |
dc.title | BioMOBS: A multi-omics visual analytics workflow for biomolecular insight generation | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 12 | - |
dc.identifier.volume | 18 | - |
local.format.pages | 10 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Heylen, D (corresponding author), Hasselt Univ, Data Sci Inst DSI, Theory Lab, Diepenbeek, Belgium.; Heylen, D (corresponding author), Flemish Inst Technol Res VITO, Mol, Belgium. | - |
dc.description.notes | dries.heylen@vito.be | - |
local.publisher.place | 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | e0295361 | - |
dc.identifier.doi | 10.1371/journal.pone.0295361 | - |
dc.identifier.pmid | 38096184 | - |
dc.identifier.isi | 001158744900061 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Heylen, Dries; Hooyberghs, Jef] Hasselt Univ, Data Sci Inst DSI, Theory Lab, Diepenbeek, Belgium. | - |
local.description.affiliation | [Heylen, Dries; Ertaylan, Gokhan] Flemish Inst Technol Res VITO, Mol, Belgium. | - |
local.description.affiliation | [Peeters, Jannes] Hasselt Univ, Data Sci Inst DSI, Diepenbeek, Belgium. | - |
local.description.affiliation | [Aerts, Jan] Katholieke Univ Leuven, Dept Biostyst, Visual Data Anal Lab, Leuven, Belgium. | - |
local.dataset.doi | https://doi.org/10.1371/journal.pone.0295361.g001 | - |
local.uhasselt.international | no | - |
item.fullcitation | HEYLEN, Dries; PEETERS, Jannes; AERTS, Jan; Ertaylan, Gokhan & HOOYBERGHS, Jef (2023) BioMOBS: A multi-omics visual analytics workflow for biomolecular insight generation. In: PLoS One, 18 (12) (Art N° e0295361). | - |
item.fulltext | With Fulltext | - |
item.contributor | HEYLEN, Dries | - |
item.contributor | PEETERS, Jannes | - |
item.contributor | AERTS, Jan | - |
item.contributor | Ertaylan, Gokhan | - |
item.contributor | HOOYBERGHS, Jef | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 1932-6203 | - |
crisitem.journal.eissn | 1932-6203 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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BioMOBS_ A multi-omics visual analytics workflow for biomolecular insight generation.pdf | Published version | 1.32 MB | Adobe PDF | View/Open |
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