Data analysis reimagined for real-world translational research
[ Free for academia, forever ]
Platforma
[ Windows / Mac OS X / Linux ]
Platforma
[ Windows / Mac OS X / Linux ]
[ Core features ]
1/4

UI-first computational biology for biologists

Simplifies data analysis, converting complex tasks into user-friendly blocks for effortless biological analysis.

2/4

Hassle-free interactive & reproducible analysis

Seamless and efficient iterations with smart resource utilization ensuring computations are performed only where changes occur.

3/4

Run in your infrastructure

Run on your Desktop, Server, HPC or Cloud infrastructure.

4/4

Built to speed up evolution

Platforma has been designed from scratch with easy extensibility in mind, and allowing others to extend it with new Apps is a part of our nearest plans.

[ Immunological feature ]

Unlock immunological insights with MiXCR

Harness the power of MiXCR, the gold standard in repertoire sequencing analysis, validated in thousands of research studies and patents.


Trusted by experts across pharma, biotech, and academia, our tools translate complex data into deep immunological understanding.

Advanced analytical tools

Unlock the full potential of your sequencing data with our suite of analysis tools. Effortlessly perform V/J gene allelic variant calling, somatic hypermutation tree reconstruction, clonotype tracking, and estimate repertoire diversity.

Platforma allows to integrate these tools with extensive plotting features, offering you the flexibility to derive the analytical insights you need within a cohesive framework

B cell lineage trees
Single cell multiomics
Immune tracking
Repertoire profiles
Repertoire overlap
and more...
Lineage trees illustrate the microevolution of B cell immunoglobulin genes. In these trees, each node represents a BCR sequence that has undergone mutation in the germinal center, providing a visual narrative of the B cell lineage's genetic changes over time

Trust your results

Precise analysis of any input data, containing BCRs or TCRs, with the help of best in class algorithms for single-cell and UMI data analysis. Gain immediate clarity on key data quality metrics with a single, intuitive overview.

150+
publications featuring our work
15k+
citations received
5M+
datasets processed by MiXCR
Solutions for science
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antibody discovery
Build hypermutation trees and analyze immunoglobulin lineages in depth and in time. Find lead candidates right away.
TCR Discovery
Comparative and cluster analysis with the most efficient algorithms. Identify T cell clones responding to the challenge of interest. Develop TCR-based therapies and diagnostics.
Single Cell Analysis
Build functional transcriptome landscapes and decipher programs of specific immune clones. Get maximal information with intelligent noise reduction algorithms. Integrate multiomics data.
MRD
Identify and track VDJ tumor biomarkers in blood cancers. Use best algorithms to distinguish and monitor residual tumor cells early in relapse of lymphoma and leukemia.
Vaccine Development
Track T cell and B cell response responding to vaccination and match their phenotypes in single cell transcriptomics to develop best targeted vaccines on the market.
Immune Tracking
Track immune clones in time and space with the best statistical algorithms to identify significantly expanding clones, TCR clusters and B cell lineages.
The technology
Platforma is based on a unique technology that evolved from a realization of the necessary balance in scientific research between work speed,
accuracy, and
reproducibility

The race for quick results often breeds a manual, non-transparent approach, compromising data integrity and efficiency. In the heart of our solution, a technology called just 'Pl', addresses this by ensuring an interactive, rapidly responsive means of analysis without trading off reproducibility.


In essence, the Pl system, central to Platforma, offloads the cumbersome data logistics, making the research process as swift and seamless as possible, all while maintaining transparency.

Our technology allows for a noteworthy leap in the pace of scientific research, without compromising on data accuracy and reliability