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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Autores principales: | Johannes Waschke, Mario Hlawitschka, Kerim Anlas, Vikas Trivedi, Ingo Roeder, Jan Huisken, Nico Scherf |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/eec9dbd763bb49459c9332f2f527001e |
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