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A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Butler A and Satija R (2017) <doi:10.1101/164889> for more details.

Type Size Name Uploaded Downloads Labels
conda 1.4 MB | linux-64/r-seurat-2.3.4-r351h29659fb_2.tar.bz2  6 years and 7 months ago 2288 main gcc7
conda 1.4 MB | osx-64/r-seurat-2.3.4-r351h466af19_2.tar.bz2  6 years and 7 months ago 848 main gcc7
conda 1.7 MB | linux-64/r-seurat-2.3.4-r351h9d2a408_1.tar.bz2  6 years and 9 months ago 835 main cf201901
conda 1.3 MB | linux-64/r-seurat-2.3.4-r341h9d2a408_1.tar.bz2  6 years and 9 months ago 1228 main cf201901
conda 1.6 MB | osx-64/r-seurat-2.3.4-r351h9d2a408_1.tar.bz2  6 years and 9 months ago 4303 main cf201901
conda 1.1 MB | osx-64/r-seurat-2.3.4-r341h9d2a408_1.tar.bz2  6 years and 9 months ago 428 main cf201901
conda 1.3 MB | linux-64/r-seurat-2.3.4-r341h2d50403_0.tar.bz2  7 years and 6 days ago 646 main cf201901
conda 1.1 MB | osx-64/r-seurat-2.3.4-r341h2d50403_0.tar.bz2  7 years and 6 days ago 196 main cf201901

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