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linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser.

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Title: linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser.
Authors: Waschke, Johannes1,2 (AUTHOR), Hlawitschka, Mario2 (AUTHOR), Anlas, Kerim3 (AUTHOR), Trivedi, Vikas3,4 (AUTHOR), Roeder, Ingo5,6 (AUTHOR), Huisken, Jan7 (AUTHOR), Scherf, Nico1,6,8 (AUTHOR) nscherf@cbs.mpg.de
Source: PLoS Computational Biology. 11/1/2021, Vol. 17 Issue 11, p1-9. 9p. 1 Color Photograph, 2 Diagrams.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 11/1/2021, Vol. 17 Issue 11, p1-9. 9p. 1 Color Photograph, 2 Diagrams.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=153347548
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        Value: 10.1371/journal.pcbi.1009503
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        Text: English
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        PageCount: 9
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      – TitleFull: linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser.
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              M: 11
              Text: 11/1/2021
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              Y: 2021
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