A R Shiny app for RNA-seq differential expression and gene set analysis across multiple contrasts.
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A guided, code-free R Shiny application for RNA-seq differential expression and pathway enrichment analysis across multiple contrasts.
docker run -d -p 3838:3838 -v expresso_kegg:/srv/shiny-server/expresso/cache/kegg etycksen/expresso-to-go:1.0.0
Then open http://localhost:3838. The volume keeps downloaded KEGG pathway maps across restarts.
GroupA-GroupB. Click
☕ Load Coffee!No data of your own? Click Example Mode on the setup page.
An .xlsx or .csv file with four annotation columns, matched by name in any
position:
| Column | Accepted names |
|---|---|
| Ensembl gene ID | ensembl_gene_id, ensembl, gene_id |
| Entrez gene ID | entrezgene_id, entrezgene, entrez_id |
| Gene symbol | external_gene_name, gene_symbol, symbol |
| Gene biotype | gene_biotype, biotype |
Plus one count column per sample, each named starting with sample
(for example sample.Control-1). Any other columns are carried through and
ignored. Download Template on the setup page generates a valid example.
Supported species: human, mouse, rat, fly.
Content type
Image
Digest
sha256:bded94c8c…
Size
1.1 GB
Last updated
16 days ago
docker pull etycksen/expresso-to-go