linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser
In biology, we are often confronted with information-rich, large-scale trajectory data, but exploring and communicating patterns in such data can be a cumbersome task. Ideally, the data should be wrapped with an interactive visualisation in one concise packet that makes it straightforward to create...
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| Veröffentlicht in: | PLoS computational biology 2021-11, Vol.17 (11), p.e1009503-e1009503 |
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| container_title | PLoS computational biology |
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| creator | Waschke, Johannes Hlawitschka, Mario Anlas, Kerim Trivedi, Vikas Roeder, Ingo Huisken, Jan Scherf, Nico |
| description | In biology, we are often confronted with information-rich, large-scale trajectory data, but exploring and communicating patterns in such data can be a cumbersome task. Ideally, the data should be wrapped with an interactive visualisation in one concise packet that makes it straightforward to create and test hypotheses collaboratively. To address these challenges, we have developed a tool, linus, which makes the process of exploring and sharing 3D trajectories as easy as browsing a website. We provide a python script that reads trajectory data, enriches them with additional features such as edge bundling or custom axes, and generates an interactive web-based visualisation that can be shared online. linus facilitates the collaborative discovery of patterns in complex trajectory data. |
| doi_str_mv | 10.1371/journal.pcbi.1009503 |
| format | Article |
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This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central |
| subjects | Biology Biology and Life Sciences Browsing Communication Computational Biology - methods Computer and Information Sciences Datasets Engineering and Technology Information Dissemination - methods Internet JavaScript Medical imaging Microscopy Programming Languages Research and Analysis Methods Social Sciences Software User interface User-Computer Interface Visualization Web browsers Websites |
| title | linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser |
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