Published July 21, 2023 | Version v1
Dataset Open

Reads-per-UMI tables across single-cell RNA sequencing protocols

  • 1. Hertie Institute for AI in Brain Health, University of Tübingen, Germany
  • 2. Department of Medical Biochemistry & Biophysics, Karolinska Institutet, Sweden
  • 3. Department of Cell & Molecular Biology, Karolinska Institutet, Sweden

Description

Data analyzed in Lause, Ziegenhain et al. (2023).

Code to obtain these tables from public data sources is available on github.

 

Each row in the table is a UMI-tag detected in a certain cell (column RG) attached to a molecule from a specific gene (column GE) with a certain barcode (column UB). Column N gives the number of times the UMI was detected for that gene and cell.

Data sources and protocols are given with the respective file names below.

Johnsson2022_Smartseq3_PE.hd1.txt.gz: Mouse fibroblasts profiled with Smart-seq3 paired-end; accession E-MTAB-10148, sample plate2,
Paper

Hagemann-Jensen2020_Smartseq3_SE.hd1.txt.gz: Mouse fibroblasts profiled with Smart-seq3 single-end; accession E-MTAB-8735, sample Smartseq3.Fibroblasts.smFISH
Paper

Hagemann-Jensen2022_Smartseq3xpress.hd1.txt.gz: HEK293 cells profiled with Smart-seq3Xpress; accession E-MTAB-11467.
Paper

Ziegenhain2017.hd1.txt.gz: Mouse embryonic stem cells profiled by CEL-seq2, Drop-seq, MARS-seq, and SCRB-seq; GEO accession GSE75790
Paper

Files

Files (726.1 MB)

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md5:b0767a427174e0ecf66200bc154410fe
142.9 MB Download
md5:6a428f9b9925cb43a23b7196aff9b249
46.8 MB Download
md5:f363cfb05bdc5ca27d1a2f3b1243aed7
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md5:e7d8a0ddfeedc98579be1f761602adf4
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Additional details

Related works

Is required by
Software: https://github.com/berenslab/read-normalization (URL)
Is supplement to
Preprint: 10.1101/2023.08.02.551637 (DOI)