Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36210
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dc.contributor.authorPEETERS, Jannes-
dc.contributor.authorTHAS, Olivier-
dc.contributor.authorSHKEDY, Ziv-
dc.contributor.authorKODALCI, Leyla-
dc.contributor.authorMUSISI, Connie-
dc.contributor.authorOWOKOTOMO, Olajumoke Evangelina-
dc.contributor.authorDYCZKO, Aleksandra-
dc.contributor.authorHAMAD, Ibrahim-
dc.contributor.authorVANGRONSVELD, Jaco-
dc.contributor.authorKLEINEWIETFELD, Markus-
dc.contributor.authorTHIJS, Sofie-
dc.contributor.authorAERTS, Jan-
dc.date.accessioned2021-12-15T12:28:51Z-
dc.date.available2021-12-15T12:28:51Z-
dc.date.issued2021-
dc.date.submitted2021-12-09T08:44:16Z-
dc.identifier.citationFrontiers in Bioinformatics, 1 (Art N° 774631)-
dc.identifier.urihttp://hdl.handle.net/1942/36210-
dc.description.abstractResearch on the microbiome has boomed recently, which resulted in a wide range of tools, packages, and algorithms to analyze microbiome data. Here we investigate and map currently existing tools that can be used to perform visual analysis on the microbiome, and associate the including methods, visual representations and data features to the research objectives currently of interest in microbiome research. The analysis is based on a combination of a literature review and workshops including a group of domain experts. Both the reviewing process and workshops are based on domain characterization methods to facilitate communication and collaboration between researchers from different disciplines. We identify several research questions related to microbiomes, and describe how different analysis methods and visualizations help in tackling them.-
dc.language.isoen-
dc.rightsCopyright © 2021 Peeters, Thas, Shkedy, Kodalci, Musisi, Owokotomo, Dyczko, Hamad, Vangronsveld, Kleinewietfeld, Thijs and Aerts. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.-
dc.subject.othermicrobiome-
dc.subject.othervisual analytics-
dc.subject.otherdata visualization-
dc.subject.otherbioinformatcs-
dc.subject.otherdata analysis-
dc.subject.otherbiostatistics-
dc.titleExploring the Microbiome Analysis and Visualization Landscape-
dc.typeJournal Contribution-
dc.identifier.volume1-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedReview-
local.bibliographicCitation.artnr774631-
local.type.programmeH2020-
local.relation.h2020640116-
dc.identifier.doi10.3389/fbinf.2021.774631-
local.provider.typeCrossRef-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.validationvabb 2023-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationPEETERS, Jannes; THAS, Olivier; SHKEDY, Ziv; KODALCI, Leyla; MUSISI, Connie; OWOKOTOMO, Olajumoke Evangelina; DYCZKO, Aleksandra; HAMAD, Ibrahim; VANGRONSVELD, Jaco; KLEINEWIETFELD, Markus; THIJS, Sofie & AERTS, Jan (2021) Exploring the Microbiome Analysis and Visualization Landscape. In: Frontiers in Bioinformatics, 1 (Art N° 774631).-
item.contributorPEETERS, Jannes-
item.contributorTHAS, Olivier-
item.contributorSHKEDY, Ziv-
item.contributorKODALCI, Leyla-
item.contributorMUSISI, Connie-
item.contributorOWOKOTOMO, Olajumoke Evangelina-
item.contributorDYCZKO, Aleksandra-
item.contributorHAMAD, Ibrahim-
item.contributorVANGRONSVELD, Jaco-
item.contributorKLEINEWIETFELD, Markus-
item.contributorTHIJS, Sofie-
item.contributorAERTS, Jan-
crisitem.journal.issn2673-7647-
Appears in Collections:Research publications
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