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Series GSE89362 Query DataSets for GSE89362
Status Public on Feb 14, 2019
Title Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps [ATAC-seq]
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary We have developed a computational approach that uses self-organizing maps for integrative genomic analysis. We utilize this approach to identify the single-cell chromatin and transcriptomic profiles during mouse pre-B cell differentiation.
Overall design We use the C1 Fluidigm system to profile gene expression and chromatin accessibility in single-cells during pre-B cell differentiation.
Contributor(s) Ramirez RN, Mortazavi A
Citation(s) 31682608
Submission date Oct 31, 2016
Last update date Dec 17, 2019
Contact name Camden Jansen
Organization name UCI
Street address 10631 Rockhurst Ave
City Santa Ana
State/province California
ZIP/Postal code 92705
Country USA
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (265)
GSM2367179 50k-Rep1-0h-sample.0h
GSM2367180 50k-Rep2-0h-sample.0h
GSM2367181 50k-Rep3-0h-sample.0h
This SubSeries is part of SuperSeries:
GSE89285 Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps
BioProject PRJNA352061
SRA SRP092405

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource 426 b (ftp)(http) TXT
GSE89362_scATAC.Matrix.txt.gz 696.3 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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