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Seurat: Tools for Single Cell Genomics

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) &lt;<a href="https://doi.org/10.1038%2Fnbt.3192" target="_top">doi:10.1038/nbt.3192</a>&gt;, Macosko E, Basu A, Satija R, et al (2015) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2015.05.002" target="_top">doi:10.1016/j.cell.2015.05.002</a>&gt;, Stuart T, Butler A, et al (2019) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2019.05.031" target="_top">doi:10.1016/j.cell.2019.05.031</a>&gt;, and Hao, Hao, et al (2020) &lt;<a href="https://doi.org/10.1101%2F2020.10.12.335331" target="_top">doi:10.1101/2020.10.12.335331</a>&gt; for more details.



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Seurat: Tools for Single Cell Genomics

https://cran.r-project.org/package=Seurat

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) &lt;<a href="https://doi.org/10.1038%2Fnbt.3192" target="_top">doi:10.1038/nbt.3192</a>&gt;, Macosko E, Basu A, Satija R, et al (2015) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2015.05.002" target="_top">doi:10.1016/j.cell.2015.05.002</a>&gt;, Stuart T, Butler A, et al (2019) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2019.05.031" target="_top">doi:10.1016/j.cell.2019.05.031</a>&gt;, and Hao, Hao, et al (2020) &lt;<a href="https://doi.org/10.1101%2F2020.10.12.335331" target="_top">doi:10.1101/2020.10.12.335331</a>&gt; for more details.



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https://cran.r-project.org/package=Seurat

Seurat: Tools for Single Cell Genomics

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) &lt;<a href="https://doi.org/10.1038%2Fnbt.3192" target="_top">doi:10.1038/nbt.3192</a>&gt;, Macosko E, Basu A, Satija R, et al (2015) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2015.05.002" target="_top">doi:10.1016/j.cell.2015.05.002</a>&gt;, Stuart T, Butler A, et al (2019) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2019.05.031" target="_top">doi:10.1016/j.cell.2019.05.031</a>&gt;, and Hao, Hao, et al (2020) &lt;<a href="https://doi.org/10.1101%2F2020.10.12.335331" target="_top">doi:10.1101/2020.10.12.335331</a>&gt; for more details.

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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) &lt;<a href="https://doi.org/10.1038%2Fnbt.3192" target="_top">doi:10.1038/nbt.3192</a>&gt;, Macosko E, Basu A, Satija R, et al (2015) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2015.05.002" target="_top">doi:10.1016/j.cell.2015.05.002</a>&gt;, Stuart T, Butler A, et al (2019) &lt;<a href="https://doi.org/10.1016%2Fj.cell.2019.05.031" target="_top">doi:10.1016/j.cell.2019.05.031</a>&gt;, and Hao, Hao, et al (2020) &lt;<a href="https://doi.org/10.1101%2F2020.10.12.335331" target="_top">doi:10.1101/2020.10.12.335331</a>&gt; for more details.
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