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etycksen/expresso-to-go

By etycksen

Updated 16 days ago

A R Shiny app for RNA-seq differential expression and gene set analysis across multiple contrasts.

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Data science
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etycksen/expresso-to-go repository overview

eXpresso to go

A guided, code-free R Shiny application for RNA-seq differential expression and pathway enrichment analysis across multiple contrasts.

Running eXpresso to go

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.

How to use eXpresso to go

  1. Pipeline Setup — choose a species, upload a count matrix, confirm the sample groups, and define contrasts as GroupA-GroupB. Click ☕ Load Coffee!
  2. QC & Filtering — review sample clustering and quality weights, adjust the expression and biotype filters, then click Make eXpresso!
  3. One tab per contrast — differential expression, KEGG pathways, and GO biological process, each with its own thresholds and exports.
  4. Contrast Summary — appears with two or more contrasts; shows which genes are shared or unique across them.

No data of your own? Click Example Mode on the setup page.

Input format

An .xlsx or .csv file with four annotation columns, matched by name in any position:

ColumnAccepted names
Ensembl gene IDensembl_gene_id, ensembl, gene_id
Entrez gene IDentrezgene_id, entrezgene, entrez_id
Gene symbolexternal_gene_name, gene_symbol, symbol
Gene biotypegene_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.

Tag summary

Content type

Image

Digest

sha256:bded94c8c

Size

1.1 GB

Last updated

16 days ago

docker pull etycksen/expresso-to-go