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R2: open online nocode data science platform for biomedical researchers

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Want a more complete intro?
Check the R2 Introduction Workshop and training programme for step‑by‑step courses, from basics to advanced pipelines: r2-training-courses.readthedocs.io

Step 4 – Run differential expression
Follow the “Differential expression” tutorial to compare groups, generate gene lists, and move on to pathway/GO exploration within the same interface.

Step 3 – Explore multiple genes
Try the tutorials on heatmaps and clustering to visualize gene sets, patterns, and subgroups in your data. The guided “short story” style walks you through each click.

Step 2 – View a gene
Use the “View a gene” entry point, select your dataset, and type a gene symbol. R2 instantly shows expression plots and associations with clinical or molecular annotations.

Step 1 – Open R2
Go to r2platform.com and choose a public dataset from the landing page. R2 hosts many preloaded studies so you can start analyzing immediately—no upload, no install.

The R2platform has been cited in NCBI pubmed 3100 times!

R2 open online #nocode data science platform for biomedical #scientists

No #bioinformatics / coding expertise needed.

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