# Ziegenhain et al. 2017: Spike-Ins Expression

Source: `R/data.R`
`SpikeCounts.Rd`

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.