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In this study, we present Arena3Dweb, the first, fully interactive and dependency-free, web application which allows the visualization of multilayered graphs in 3D space. With Arena3Dweb, users can integrate multiple networks in a single view along with their intra- and inter-layer connections. For clearer and more informative views, users can choose between a plethora of layout algorithms and apply them on a set of selected layers either individually or in combination. Users can align networks and highlight node topological features, whereas each layer as well as the whole scene can be translated, rotated and scaled in 3D space. User-selected edge colors can be used to highlight important paths, while node positioning, coloring and resizing can be adjusted on-the-fly. In its current version, Arena3Dweb supports weighted and unweighted undirected graphs and is written in R, Shiny and JavaScript. We demonstrate the functionality of Arena3Dweb using two different use-case scenarios; one regarding drug repurposing for SARS-CoV-2 and one related to GPCR signaling pathways implicated in melanoma. Arena3Dweb is available at http:\/\/bib.fleming.gr:3838\/Arena3D or http:\/\/bib.fleming.gr\/Arena3D.<\/jats:p>","DOI":"10.1093\/nar\/gkab278","type":"journal-article","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T07:17:53Z","timestamp":1617866273000},"page":"W36-W45","source":"Crossref","is-referenced-by-count":27,"title":["Arena3Dweb: interactive 3D visualization of multilayered networks"],"prefix":"10.1093","volume":"49","author":[{"given":"Evangelos","family":"Karatzas","sequence":"first","affiliation":[{"name":"Institute for Fundamental Biomedical Research, BSRC \u201cAlexander Fleming\u201d, Vari, Greece"}]},{"given":"Fotis A","family":"Baltoumas","sequence":"additional","affiliation":[{"name":"Institute for Fundamental Biomedical Research, BSRC \u201cAlexander Fleming\u201d, Vari, Greece"}]},{"given":"Nikolaos A","family":"Panayiotou","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Section of Industrial Management and Operational Research, National Technical University of Athens, Zografou, Athens, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8278-1618","authenticated-orcid":false,"given":"Reinhard","family":"Schneider","sequence":"additional","affiliation":[{"name":"University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Bioinformatics Core, Esch-sur-Alzette, Luxembourg"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4577-8276","authenticated-orcid":false,"given":"Georgios A","family":"Pavlopoulos","sequence":"additional","affiliation":[{"name":"Institute for Fundamental Biomedical Research, BSRC \u201cAlexander Fleming\u201d, Vari, Greece"}]}],"member":"286","published-online":{"date-parts":[[2021,4,22]]},"reference":[{"key":"2021070812010404000_B1","doi-asserted-by":"crossref","first-page":"34","DOI":"10.3389\/fbioe.2020.00034","article-title":"A guide to conquer the biological network era using graph theory","volume":"8","author":"Koutrouli","year":"2020","journal-title":"Front. 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