ITSR Labs
ITSR Labs provides a no-code, browser-based platform for single-cell transcriptomic analysis, giving researchers access to validated open-source methods and scalable cloud compute. The platform includes scRIPT for pipeline processing, scOPE for interactive visualization of millions of cells, and scRxiv for one-click import of curated public datasets, eliminating the need for programming or infrastructure management.
- Biotechnology
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Modern transcriptomics experiments routinely produce datasets of millions of cells that strain even powerful local workstations. Researchers face computationally intense, technically nuanced, and notoriously fragile analysis pipelines, where variation in documentation, programming language, science libraries, and operating systems makes reproducibility challenging or impossible.
Solution
ITSR Labs provides a no-code, browser-based platform that gives researchers instant access to validated, open-source transcriptomic analysis methods and scalable cloud compute. The platform abstracts away programming, operating-system, and library dependencies, ensuring reproducible workflows while handling datasets that would overwhelm local machines. Users can import raw or processed data, run customizable processing pipelines, integrate samples with Harmony, subset existing atlases, perform differential expression, and manage cell annotations—all through a simple interface. The companion visualization engine renders millions of cells interactively in the browser, and curated public datasets can be imported with a single click.
Target Audience
Primary users are academic researchers, laboratory teams, and institutions conducting single-cell transcriptomic studies, including groups at research institutes and university medical schools.
Features
- scRIPT: single-cell RNA-seq Interactive Pipeline & Toolbox for building and configuring custom scRNA-seq data pipelines with pre-built or fully customizable processing steps
- scOPE: single-cell Observation & Plotting Engine for 2D and 3D rendering of millions of cells as UMAP, tSNE, PCA, or custom embedding plots with instant quantification via live hover feed
- scRxiv: single-cell RNA archive for importing curated datasets from public repositories with a single click
- Data import compatible with Seurat (.rds), scanpy (.h5ad), and raw aligned data from CellRanger (10x) and STARsolo/Kallisto pipelines
- Integration with Harmony for batch correction, including diagnostics indicating whether integration was needed and how well batches mixed
- Pseudobulk differential expression using DESeq2 and cell-type marker identification for UMAP cluster labeling
- Publication-ready figure export with custom sizing and DPI options, plus fully interactive and customizable plot aesthetics
- Browser-based design built natively on cloud compute, scaling from a single researcher to multi-lab institutions with role-based administrative controls