Some analyses need more than a laptop can offer. R packages such as DADA2, DESeq2 and phyloseq are hard to install and heavy to run. R on Windows has always been fragile, and many laptops do not have the memory for large datasets. With version 1.5.47, Omi can send that work to a cloud server and bring the results back into your project.
What runs in the cloud
- R and Bioconductor. Omi writes and runs R in a cloud session. That covers DADA2 for 16S, DESeq2, edgeR and limma for RNA-seq, and phyloseq for microbiome work, with no local setup.
- Heavier Python. Python can also run in the cloud for work that does not fit on your machine.
- Results come back. Plots and tables appear in your notebook, and files created in the cloud are saved to your project folder.
How it fits with what you already use
- Local stays the default. Your Python notebook still runs on your own machine, free, for learning and everyday analysis.
- Omi picks the engine for each step. When Omi writes your plan, every step says where it runs and why. If the cloud is not available to you, Omi uses a local alternative or tells you plainly what is missing.
- You see progress. Output streams back while the work runs, so a long step is not a silent wait.
Who it helps
- Students following an R-based tutorial or course who cannot get R installed.
- Researchers who need the standard R method for a paper but do not want to set up a server.
- Anyone with a modest laptop and a dataset that is too big for it.
Good to know: cloud work needs a paid plan or a One-Time Project Access top-up. It is not part of the free taste. Omi asks your permission before uploading any of your files. Cloud R cannot install new packages on the fly yet, so the pre-installed set is what is available, and because the server is shared, very large jobs may queue.
Get it
Download version 1.5.47 for Windows from the download section, or let your installed app update itself. For command-line tools such as SPAdes, Kraken2 and IQ-TREE, read about the cloud tool set.