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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
single cell sequncing, UMI, reads, amplification, PCR
single cell sequncing, UMI, reads, amplification, PCR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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