Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
Interscapular Brown Adipose Tissue
GSM4119264 GSM4119265 GSM4119266
GSM4119267 GSM4119268 GSM4119269 GSM4119270
Description

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

Description

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

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

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Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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Bulk RNA-seq Appyter

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.