Published March 16, 2022 | Version 1.0

PBMC CITE-seq, 10x Multiome, and TEA-seq multiomic datasets from Swanson, et al. eLife (2021).

  • 1. Allen Institute for Immunology
  • 2. University of Washington

Description

Assembled multiomic datasets from Swanson, et al. Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq. eLife 2021;10:e63632 DOI: 10.7554/eLife.63632 

Datasets were assembled from the GEO repository: GSE158013 

Data are provided as SeuratObjects stored in separate .rds files using the saveRDS() function in R.

MuData files for use with Python tools (muon, scanpy, scvitools, et al.) will be added soon.

Contact Lucas Graybuck (lucasg at alleninstitute dot org) if there are problems with these datasets.

Files

sample_characteristics.csv

Files (2.2 GB)

Name Size
md5:2a1ec790d129e1dfd664b4efda399cec
417.9 MB Download
md5:143fc5999a322968d03472f42e53c5df
352.1 MB Download
md5:c6eae329ace074dde47407738218802f
259.4 MB Download
md5:ecb4fbd25348fb9607cd108a42c5f8f4
268.3 MB Download
md5:bbba93fe3df5e4c1eae70931b9c1da7a
267.4 MB Download
md5:041bee924b6322e42a7a8a595d624fc8
266.5 MB Download
md5:037f51f6385aad8f5723f10fadb9f1fa
270.8 MB Download
md5:d8fcd35606945ce767cf1538b1e59b33
80.8 MB Download
md5:9a4d9987f2fa24c1c2dcb5e20ac48e3b
1.6 kB Preview Download

Additional details

References

  • Swanson, Elliott, et al. eLife 2021;10:e63632. DOI: 10.7554/eLife.63632