Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Interscapular Brown Adipose Tissue |
GSM4119264 GSM4119265 GSM4119266
|
|
|
GSM4119267 GSM4119268 GSM4119269 GSM4119270
|
Submission Date: Oct 11, 2019
Summary: PGAM5 is a mitochondria-localized protein phosphatase. To analyze the effect on gene expression profiles by PGAM5 in iBAT, RNA-seq analysis was performed.
GEO Accession ID: GSE138782
PMID: No Pubmed ID
Submission Date: Oct 11, 2019
Summary: PGAM5 is a mitochondria-localized protein phosphatase. To analyze the effect on gene expression profiles by PGAM5 in iBAT, RNA-seq analysis was performed.
GEO Accession ID: GSE138782
PMID: No Pubmed ID
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.
This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.