Platforma Description

Platforma is an intuitive no-code bioinformatics tool that transforms raw next-generation sequencing (NGS) data into valuable insights. It features a straightforward interface with customizable, no-code "blocks" that facilitate complex analyses such as immune repertoire, single-cell, and gene expression data. Drawing on the strengths of its predecessor, MiXCR, Platforma allows users to leverage AI for the selection of antibody and TCR candidates. This platform is crafted to be user-friendly for scientists who may lack bioinformatics expertise, empowering them to take charge of their research and significantly shorten the time required to gather insights. Ultimately, Platforma aims to democratize access to advanced bioinformatics analysis, fostering a more innovative research environment.

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Pricing

Free Version:
Yes

Integrations

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Reviews - 1 Verified Review

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support
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Company Details

Company:
MiLaboratories
Year Founded:
2011
Headquarters:
United States
Website:
platforma.bio
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Product Details

Platforms
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support

Platforma Features and Options

Platforma User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Researcher
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Recommend for all researchers

    Date: Sep 02 2025

    Summary: As someone working in cancer immunogenomics, Platforma allows me to visualize my dataset in a standardized way without the need for coding. I can explore T-cell receptor diversity, clonal dynamics, and specificity in pediatric cancer in just a few clicks.

    Positive: The UI/UX is very well done, especially the way users can tailor the order and amount of blocks to their analysis. With Platforma I can do the same analysis in a fraction of the time compared to command line tools. It's also free for academia, so that's a big plus!

    Negative: One challenge I faced was identifying the correct file format during a demo run using public datasets.

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