Bioinformatic tools made simple.
ITSR Labs provides no-coding-required access to validated, open-source methods and workflows for transcriptomic data analysis.
Computationally intense.
Technically nuanced.
Notoriously fragile.
Analyzing millions of cells is now routine.
Modern transcriptomics experiments routinely produce datasets that strain even powerful local workstations.
Critical tools should be simple.
Processing and analysis are challenging to build and often produce unseen issues that secretly confound downstream outcomes.
“It works on my machine.”
Every lab does research differently. Variation in documentation, programming language, science libraries and operating system make reproducibility challenging or impossible.
The challenge should be the biology, not the software.
Spend less time debugging, more time on discovery.
Integrated compute.
No-code interface.
Trusted methods.
Simplify how researchers interact with bioinformatics.
Browser-based by design.
Built natively on cloud compute, the platform scales to fit your most ambitous projects with a single, simple, no-code interface.
Managed infrastructure.
Trusted gold-standard scientific methods and full customizability. No programming knowledge, system configuration, or infrastructure maintenance required.
Open source workflows.
Our methods are open-source and published for peer review. Every action is recorded inside the dataset for a complete history that is independently reproducible outside the platform.
Your research stack, all in one place.
Each ITSR Labs product serves a specific need. See the platform →
scRIPT
Process, analyze, annotate, and explore scRNAseq data without compute limitations or code. Powered by the tools you know and trust including Scanpy, AnnData, scvi-tools, Seurat, and more.
- Process raw data or conduct analyses on existing datasets
- Open source workflows for transparency and reproducibility
- Affordable computing at scale
scOPE
An interactive data viewer built for exploration and figure generation at any scale. Overlay gene expression, plot datasets side-by-side and generate publication-ready figures for your next manuscript.
- Generate publication-ready, customizable plots
- Visualize cell features with powerful embedding overlays and plots
- Side-by-side comparison for multi-dataset exploration
scRxiv
Select datasets from public repositories such as NCBI GEO or CELLXGENE. Import a published dataset into your own workspace for custom analysis.
- Remove the headaches of public data accession
- Subset from published atlases for novel insights
- Host your own data on scRxiv to supplement your manuscript
Join the waitlist.
The ITSR Labs platform is currently being tested with the help of researchers at the University of Calgary — including the Hotchkiss Brain Institute, Alberta Children's Hospital Research Institute, and the Cumming School of Medicine.
Add your lab to the waitlist.