|
| Status |
Public on Feb 14, 2019 |
| Title |
Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps [scRNA-Seq] |
| Organism |
Mus musculus |
| Experiment type |
Expression 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 28, 2016 |
| Last update date |
Dec 17, 2019 |
| Contact name |
Camden Jansen |
| E-mail(s) |
csjansen@uci.edu
|
| 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 (568)
|
|
| This SubSeries is part of SuperSeries: |
| GSE89285 |
Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps |
|
| Relations |
| BioProject |
PRJNA351246 |
| SRA |
SRP092251 |
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