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Items: 3

1.

Single cell RNA-seq data of human hESCs to evaluate Oscope - a statistical pipeline for identifying oscillatory genes in unsynchronized single cell RNA-Seq

(Submitter supplied) Oscillatory gene expression is fundamental to mammalian development, but technologies to monitor expression oscillations are limited. We have developed a statistical approach called Oscope to identify and characterize the transcriptional dynamics of oscillating genes in single-cell RNA-seq data from an unsynchronized cell population. Applications to a number of data sets, include a single-cell RNA-seq data set of human embroyonic stem cells (hESCs), demonstrate advantages of the approach and also identify a potential artifact in the Fluidigm C1 platform.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
460 Samples
Download data: CSV
Series
Accession:
GSE64016
ID:
200064016

PubMed Full text in PMC Similar studies SRA Run Selector

2.

Illumina HiSeq 2500 (Homo sapiens)

Organism:
Homo sapiens
11815 Series
336534 Samples
Download data
Platform
Accession:
GPL16791
ID:
100016791

3.

S_Exp1.008

Organism:
Homo sapiens
Source name:
single H1-Fucci cell sorted from S phase of the cell cycle only
Platform:
GPL16791
Series:
GSE64016
Download data
Sample
Accession:
GSM1562707
ID:
301562707

SRA Run Selector

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db=gds|term=GSM1562707[Accession]|query=40|qty=2|blobid=MCID_664afe598626ff46af798314|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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