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...
Guardado en:
Autores principales: | Johannes Waschke, Mario Hlawitschka, Kerim Anlas, Vikas Trivedi, Ingo Roeder, Jan Huisken, Nico Scherf |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b5a0ed5bb1d9464189b5206b3878d55f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser
por: Johannes Waschke, et al.
Publicado: (2021) -
Multi-scale imaging and analysis identify pan-embryo cell dynamics of germlayer formation in zebrafish
por: Gopi Shah, et al.
Publicado: (2019) -
OmniCrawl: Comprehensive Measurement of Web Tracking With Real Desktop and Mobile Browsers
por: Cassel Darion, et al.
Publicado: (2022) -
Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
por: Troels Siggaard, et al.
Publicado: (2020) -
Pathway projector: web-based zoomable pathway browser using KEGG atlas and Google Maps API.
por: Nobuaki Kono, et al.
Publicado: (2009)