Read10X_h5

Read count matrix from 10X CellRanger hdf5 file.
This can be used to read both scATAC-seq and scRNA-seq matrices.

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>, Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331>, Jiang, et al (2026) for more details.

Paul Hoffman

Seurat

Tools for Single Cell Genomics

Andrew Butler

Saket Choudhary

David Collins

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

Anagha Shenoy

Avi Srivastava

Tim Stuart

Kristof Torkenczy

Brian Zhang

Shiwei Zheng

Satija Lab and Collaborators 

Read10X_h5 function

<dl><dt>filename</dt>
<dd>Path to h5 file</dd>
<dt>use.names</dt>
<dd>Label row names with feature names rather than ID numbers.</dd>
<dt>unique.features</dt>
<dd>Make feature names unique (default TRUE)</dd></dl>

Arguments

Read 10X hdf5 file — Read10X_h5

<dl>

<dt>filename</dt>
<dd>Path to h5 file</dd>


<dt>use.names</dt>
<dd>Label row names with feature names rather than ID numbers.</dd>


<dt>unique.features</dt>
<dd>Make feature names unique (default TRUE)</dd>

</dl>

Read 10X hdf5 file

Read10X_h5: Read 10X hdf5 file

Description

Usage

Value

Arguments