Ziegenhain et al. 2017: Spike-Ins Expression

Source: R/data.R

Spike-ins counts for Ziegenhain et al. 2017 library preparation protocols.
Either Reads (Smartseq, Smartseq2) or UMI Counts (CELseq2, Dropseq, MARSseq, SCRBseq) per ERCC Spike-In and Cell.

data(CELseq2_SpikeIns_Read_Counts)
data(CELseq2_SpikeIns_UMI_Counts)
data(DropSeq_SpikeIns_Read_Counts)
data(DropSeq_SpikeIns_UMI_Counts)
data(MARSseq_SpikeIns_Read_Counts)
data(MARSseq_SpikeIns_UMI_Counts)
data(SCRBseq_SpikeIns_Read_Counts)
data(SCRBseq_SpikeIns_UMI_Counts)
data(SmartSeq_SpikeIns_Read_Counts)
data(SmartSeq2_SpikeIns_Read_Counts)

Format

An object of class "data.frame", with spike-ins per row and cells per column.

Source

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75790.