recombinator
CommunitySimulate meiotic recombination for genetic variation in genome modeling.
Education & Research#mutation#clinical evaluation#genetic recombination#meiotic simulation#genome modeling
AuthorMubasherMohammed
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The recombinator Skill addresses the challenge of creating diverse offspring genomes in the context of genetic modeling by simulating meiotic recombination, mutation, and clinical evaluation.
Core Features & Use Cases
- Meiotic Recombination Simulation: Generates new genetic combinations by simulating the process of meiosis.
- Mutation Insertion: Allows the insertion of de novo mutations to simulate genetic variability.
- Clinical Evaluation: Checks offspring against a disease registry to assess genetic health.
- Use Case: Ideal for researchers studying the impact of genetic recombination and mutation on disease susceptibility and phenotypic variation in organisms.
Quick Start
Run the recombinator skill to generate offspring from 'einstein-g0' and 'annning-g0' with 3 offspring.
Dependency Matrix
Required Modules
python3
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: recombinator Download link: https://github.com/MubasherMohammed/opencode-BioInfo/archive/main.zip#recombinator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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