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) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.

Package details

AuthorAndrew Butler [ctb] (<>), Saket Choudhary [ctb] (<>), Charlotte Darby [ctb] (<>), Jeff Farrell [ctb], Isabella Grabski [ctb] (<>), Christoph Hafemeister [ctb] (<>), Yuhan Hao [ctb] (<>), Austin Hartman [ctb] (<>), Paul Hoffman [ctb] (<>), Jaison Jain [ctb] (<>), Longda Jiang [ctb] (<>), Madeline Kowalski [ctb] (<>), Skylar Li [ctb], Gesmira Molla [ctb] (<>), Efthymia Papalexi [ctb] (<>), Patrick Roelli [ctb], Rahul Satija [aut, cre] (<>), Karthik Shekhar [ctb], Avi Srivastava [ctb] (<>), Tim Stuart [ctb] (<>), Kristof Torkenczy [ctb] (<>), Shiwei Zheng [ctb] (<>), Satija Lab and Collaborators [fnd]
MaintainerRahul Satija <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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Seurat documentation built on Nov. 18, 2023, 1:10 a.m.