ReadSlideSeq

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.

Paul Hoffman

Seurat

Tools for Single Cell Genomics

Andrew Butler

Saket Choudhary

Charlotte Darby

Jeff Farrell

Isabella Grabski

Christoph Hafemeister

Yuhan Hao

Austin Hartman

Jaison Jain

Longda Jiang

Madeline Kowalski

Skylar Li

Gesmira Molla

Efthymia Papalexi

Patrick Roelli

Rahul Satija

Karthik Shekhar

Avi Srivastava

Tim Stuart

Kristof Torkenczy

Shiwei Zheng

Satija Lab and Collaborators 

ReadSlideSeq function

<dl><dt>coord.file</dt>
<dd>Path to csv file containing bead coordinate positions</dd>
<dt>assay</dt>
<dd>Name of assay to associate image to</dd></dl>

Arguments

Load Slide-seq spatial data — ReadSlideSeq

<dl>

<dt>coord.file</dt>
<dd>Path to csv file containing bead coordinate positions</dd>


<dt>assay</dt>
<dd>Name of assay to associate image to</dd>

</dl>

Load Slide-seq spatial data

ReadSlideSeq: Load Slide-seq spatial data

Description

Usage

Value

Arguments

See Also