| Name | Class | Dimensions / Length | Size |
|---|---|---|---|
| No R variables in active workspace yet. | |||
Student Account Required
The interactive webR workspace allows you to run live RNA-seq analysis pipelines and save your progress. Please sign in with your student account to access this environment.
webR Workspace
/
Step 1: Sleuth & TxImport
Initializing WebR Wasm...
✨
Ask DIY Challenge
✏️
Dataset Customization
🛠️
Do-it-yourself
Submit Lab Solution
DIY Transcriptomics Coursework
Previously submitted. Submitting again will update your solution.
Working Solution Script
0 lines
Attached Plot / Figure
No plot generated in the Plots tab yet. Solution will be submitted as an R script.
Load Your RNA-seq Data
100% Private & Client-Side WebAssembly Analysis
How would you like to provide your RNA-seq data?
Choose whether to upload local count files or query a public genomics repository:
Your data never leaves your computer: All counts, sample IDs, differential expression testing, and plots run strictly inside your browser's WebAssembly memory. Zero data is uploaded to our servers or cloud.
Upload From Computer
Drag & drop your count matrix file (and optional metadata .json / .tsv), or browse
Supports tab-delimited, comma-delimited, or Excel count matrices (
.tsv, .csv, .txt, .xlsx) and sample metadata tables from commercial sequencing vendors (Plasmidsaurus, Novogene, Azenta) or featureCounts.
Public Repositories
Select a public data repository to query:
Each resource provides direct WebAssembly-compatible count ingestion:
EMBL-EBI Expression Atlas REST API
Import Published Study from EMBL-EBI Expression Atlas
Enter an Expression Atlas accession (e.g.
E-GEOD-50760, E-MTAB-4202, E-GEOD-139813) to fetch raw counts and curated metadata:
Try curated examples:
•
•
NCBI GEO REST API
Import Published Study from NCBI GEO (Any Species)
Enter a GEO accession to automatically pull supplementary count matrices and biological experimental design:
Try non-model & recent examples:
•
•
ARCHS4 Kallisto Archive
Try the ARCHS4 Demo Study
Load the 16-sample human endometrium study (GSE98386) with pre-aligned Kallisto counts and clinical metadata in one click.
Download & Load from ARCHS4
1. Search archs4.org/data for any human or mouse GEO study.
2. Click Download and save
3. Drop both files below or click browse:
2. Click Download and save
matrix.tsv and sample metadata .json.3. Drop both files below or click browse:
Drop ARCHS4 matrix.tsv & metadata .json here, or browse
0 Genes
0 Samples
Gene Symbols
Metadata: 0 variables detected for . Use column header dropdowns below to map or switch variables.
Assign Sample Conditions (Study Design)
Configure variables, select detected metadata factors via header dropdowns, or enter custom values
Restore Analysis Script
Recover custom scripts from your Script Archive or Cloud Backup
Code Preview
Table 1
Lab Report Studio
Synced to Cloud
Markdown Editor
0 words
Live Report Preview
Collaborative Editing Mode