Liorazi
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Platform

ZiZiPed

ZiZiPed is Liorazi’s genetic pedigree and hereditary-risk analysis platform, designed to support pedigree creation and review, inheritance-pattern analysis, genotype-probability estimation, and interpretation of genetic information.

A translucent digital surface with a pedigree, DNA and structured genetic output

Scientific Context

Pedigree, inheritance and risk analysis within a defined structure

Intended contexts include work by genetics and healthcare professionals, researchers, laboratories and scientific organizations. Interpretation depends on pedigree-data quality, phenotypic information, inheritance assumptions and supplied parameters.

Capability Categories

Public capabilities and their scope

  1. 01

    Pedigree Creation & Visualization

    Organizes and displays family relationships and recorded phenotypic information as a structured pedigree.

  2. 02

    Inheritance Analysis

    Examines family relationships and observed phenotypes in relation to an assumed inheritance model.

  3. 03

    Genotype Probability Estimation

    Estimates genotype probabilities at a conceptual level from available pedigree information and model assumptions.

  4. 04

    Hereditary-Risk Assessment

    Examines calculated risk in relation to available family information, inheritance assumptions and supplied parameters.

  5. 05

    Variant-Interpretation Support

    Organizes variant information alongside pedigree and inheritance context; this does not replace specialist interpretation or clinical diagnosis.

  6. 06

    Structured Genetic Reporting

    Records inputs, context, analysis assumptions and relevant outputs in a structured form for professional review.

Conceptual Workflow

From pedigree and data to structured output

  1. 01Pedigree & Data
  2. 02Genetic Analysis
  3. 03Risk & Interpretation
  4. 04Structured Output

Technology Ecosystem

Connected to genetics, genomics and data analysis

The platform brings structured pedigree information, inheritance analysis and interpretation support together in a genetics and genomics context.

Genetics & Genomics Health AI & Data Intelligence

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