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Items: 3

1.

Effective Detection of Variation in Single Cell Transcriptome using MATQ-seq

(Submitter supplied) We report here a new single-cell RNA-seq assay, Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq), which provides the accuracy and sensitivity that enable the detection of transcriptional variations existing in single cells of the same type. We performed a systematic characterization of the technical noise using pool-and-split averaged single-cell samples and showed that the biological variations in single cells were observed with statistical significance.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
91 Samples
Download data: DAT, TXT
Series
Accession:
GSE78968
ID:
200078968

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2.

Illumina NextSeq 500 (Homo sapiens)

Organism:
Homo sapiens
13163 Series
354304 Samples
Download data
Platform
Accession:
GPL18573
ID:
100018573

3.

avervaged_onefifth_MCF10A_ERCC_spiked_5

Organism:
Homo sapiens
Source name:
MCF10A cell line + ERCC spike-in
Platform:
GPL18573
Series:
GSE78968
Download data: DAT
Sample
Accession:
GSM2286726
ID:
302286726

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db=gds|term=GSM2286726[Accession]|query=1|qty=2|blobid=MCID_6806311de4d5e36a8676bbb9|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
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