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• W3015575797 abstract "Abstract Single-cell RNA-Seq (scRNA-Seq) data analysis requires expertise in command-line tools, programming languages and scaling on compute infrastructure. As scRNA-Seq becomes widespread, computational pipelines need to be more accessible, simpler and scalable. We introduce an interactive analysis environment for scRNA-Seq, based on Galaxy, with ~70 functions from major single-cell analysis tools, which can be run on compute clusters, cloud providers or single machines, to bring compute to the data in scRNA-Seq." @default.
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• W3015575797 date "2020-04-09" @default.
• W3015575797 modified "2023-09-26" @default.
• W3015575797 title "User-friendly, scalable tools and workflows for single-cell analysis" @default.
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• W3015575797 doi "https://doi.org/10.1101/2020.04.08.032698" @default.
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