Platforma icon
Platforma icon

Platforma

Platforma is the discovery decision platform for biologics. Helping scientists turn complex sequencing, experimental, structural, and AI-derived data into transparent, evidence-based decisions about which therapeutic candidates to advance.

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Cost / License

  • Freemium (Subscription)
  • Open Source

Application type

Platforms

  • Mac
  • Windows
  • Linux
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Features

Properties

  1.  AI-Powered
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Platforma information

  • Developed by

    US flagmilaboratories
  • Licensing

    Open Source and Freemium product.
  • Pricing

    Subscription + free version with limited functionality.
  • Written in

  • Alternatives

    4 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

Sport & Health

GitHub repository

  •  23 Stars
  •  1 Forks
  •  54 Open Issues
  •   Updated  
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Platforma was added to AlternativeTo by bioinformatician81 on and this page was last updated .
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What is Platforma?

Platforma is the discovery decision platform for biologics. It helps discovery teams turn complex sequencing, experimental, structural, and AI-derived data into transparent, evidence-based decisions about which therapeutic candidates to advance.

Built on MiXCR, the most widely used tool for immune repertoire profiling, Platforma brings every relevant biological signal into a single, reproducible decision framework for:

In vitro antibody discovery — deconvolute phage and yeast display libraries, track enrichment across panning rounds, and separate true binders from fast-growing passenger clones.

In vivo antibody discovery — resolve native heavy/light chain pairings, trace somatic hypermutation to germline, and integrate bulk, single-cell, and multiomics data into one decision matrix.

Peptide discovery, translational immune research & multiomics - Integrate diverse biological datasets—including peptide screening, immune repertoire, single-cell, and multiomic data—into one transparent, evidence-based frame

Advantages

  • End-to-end coverage: Bring every relevant signal together in one evidence-based framework for choosing which candidates advance
  • Evidence-based candidate prioritization: Move beyond frequency-based selection and isolated metrics to identify diverse, developable, high-potential leads.
  • AI-powered discovery decisions: Make complex decisions accessible
  • A platform that adapts to your biology: Support any modality, molecular format, or experimental design without rebuilding custom pipelines.
  • Decisions you can trust and defend: Transparent rankings, reproducible logic, and explainable evidence behind every candidate selection

Official Links