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MubasherMohammed
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genome-match

Score genetic compatibility between male-female pairings in Genomebook generations.

Updated May 10, 2026
Search Tags:#genomics#genetic compatibility#mating selection#heterozygosity#disease risk
One-click install
npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill genome-match
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: genome-match
Source: https://github.com/MubasherMohammed/opencode-BioInfo/tree/main/python/skills/genome-match
Command: npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill genome-match

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of determining genetic compatibility between male-female pairings in a Genomebook generation, focusing on heterozygosity advantage, disease carrier risk, and trait complementarity.

Core Features & Use Cases

  • Genetic Compatibility Scoring: Scores compatibility based on heterozygosity, trait complementarity, and disease risk.
  • Pairwise Compatibility: Computes compatibility for every male-female combination in a Genomebook generation.
  • Ranking & Selection: Ranks pairings and selects non-overlapping mating pairs for the next generation.
  • Use Case: In a bioinformatics context, this Skill can help in selecting optimal mating pairs for genetic diversity and health.

Quick Start

Run the genome match skill to score all pairings for generation 0.

Frequently Asked Questions about genome-match

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score genetic compatibility for mating pairs in a Genomebook generation?▼

Genetic compatibility scoring evaluates male-female pairings by measuring heterozygosity, trait complementarity, and disease carrier risk. The process computes pairwise compatibility across the generation and ranks combinations to select optimal mating pairs.

What is heterozygosity advantage and how does it affect mating selection?▼

Heterozygosity advantage in mating selection measures genetic diversity within pairings to predict offspring fitness. Evaluating heterozygosity helps identify combinations that maximize genetic variation and reduce disease risks.

Do I need Python 3 to compute pairwise genetic compatibility scores?▼

Python 3 is required to compute pairwise genetic compatibility scores, along with specific Python libraries for execution. The scripts depend on this environment to process Genomebook generation data and evaluate disease risk.

What's the best way to select non-overlapping mating pairs for optimal genetic diversity?▼

Selecting non-overlapping mating pairs for optimal genetic diversity requires computing pairwise compatibility across all male-female combinations. The process ranks pairings by heterozygosity and disease risk to choose the best matches.

Can I evaluate disease carrier risk and trait complementarity for bioinformatics breeding programs?▼

Evaluating disease carrier risk and trait complementarity for bioinformatics breeding programs is supported. The scoring mechanism analyzes genetic data to identify mating pairs that minimize inherited disease risk.

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