bioRxivSystems BiologyPreprint
MultiCellDS: a standard and a community for sharing multicellular data
Samuel H. FriedmaniD, Alexander R.A. AndersoniD, David M. BortziD, Alexander George FletcheriD, Hermann B. FrieboesiD, Ahmadreza GhaffarizadehiD, David Robert GrimesiD, Andrea J. Hawkins-DaarudiD, Stefan HoehmeiD, Edwin F. JuareziD, Carl KesselmaniD, Roeland M. H. MerksiD, Shannon M. MumenthaleriD, Paul K. NewtoniD, Kerri‐Ann NortoniD, Rishi R. RawatiD, Russell C. RockneiD, Daniel RudermaniD, Jacob G. ScottiD, Suzanne SindiiD, Jessica L. SparksiD, Kristin R. SwansoniD, David B. AgusiD, Paul MackliniD
Abstract
Cell biology is increasingly focused on cellular heterogeneity and multicellular systems. To make the fullest use of experimental, clinical, and computational efforts, we need standardized data formats, community-curated \"public data libraries\", and tools to combine and analyze shared data. To address these needs, our multidisciplinary community created MultiCellDS (MultiCellular Data Standard): an extensible standard, a library of digital cell lines and tissue snapshots, and support software. With the help of experimentalists, clinicians, modelers, and data and library scientists, we can grow this seed into a community-owned ecosystem of shared data and tools, to the benefit of basic science, engineering, and human health.
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