plugins/Life Science Research

Life Science Research

General life-sciences research with routing, evidence synthesis, and optional parallel subagent analysis

OpenAIResearchv1.0.1

About

Internal life-science research workflows that help Codex interpret a user's research question, normalize the relevant entities, choose the right skills, and synthesize evidence-backed answers across public resources. The plugin spans human genetics, functional genomics, expression, pathways, protein structure, chemistry, pharmacology, literature, clinical evidence, and public study discovery, with a research-router entrypoint for broad tasks and optional subagent-assisted parallel work when evidence lanes are independent.

Tags

life-scienceresearchbioinformaticshuman-geneticsfunctional-genomicstranscriptomicsproteomicsmetabolomicsclinical-researchdrug-discoveryskill-routingevidence-synthesisparallel-analysisgwasvariant-interpretationpathway-biologyprotein-structureinteractivereadwrite

plugin.json

{
  "name": "life-science-research",
  "author": {
    "name": "OpenAI"
  },
  "skills": "./skills/",
  "license": "Proprietary",
  "version": "1.0.1",
  "homepage": "https://github.com/openai/openai/tree/master/plugins/life-science-research",
  "keywords": [
    "life-science",
    "research",
    "bioinformatics",
    "human-genetics",
    "functional-genomics",
    "transcriptomics",
    "proteomics",
    "metabolomics",
    "clinical-research",
    "drug-discovery",
    "skill-routing",
    "evidence-synthesis",
    "parallel-analysis",
    "gwas",
    "variant-interpretation",
    "pathway-biology",
    "protein-structure"
  ],
  "interface": {
    "logo": "./assets/app-icon.png",
    "category": "Research",
    "brandColor": "#166534",
    "websiteURL": "https://openai.com/",
    "displayName": "Life Science Research",
    "screenshots": [],
    "capabilities": [
      "Interactive",
      "Read",
      "Write"
    ],
    "composerIcon": "./assets/app-icon.png",
    "defaultPrompt": [
      "Use relevant skills and databases to support life-science research tasks."
    ],
    "developerName": "OpenAI",
    "longDescription": "Internal life-science research workflows that help Codex interpret a user's research question, normalize the relevant entities, choose the right skills, and synthesize evidence-backed answers across public resources. The plugin spans human genetics, functional genomics, expression, pathways, protein structure, chemistry, pharmacology, literature, clinical evidence, and public study discovery, with a research-router entrypoint for broad tasks and optional subagent-assisted parallel work when evidence lanes are independent.",
    "privacyPolicyURL": "https://openai.com/policies/row-privacy-policy/",
    "shortDescription": "General life-sciences research with routing, evidence synthesis, and optional parallel subagent analysis",
    "termsOfServiceURL": "https://openai.com/policies/row-terms-of-use/"
  },
  "repository": "https://github.com/openai/openai/tree/master/plugins/life-science-research",
  "description": "General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure, clinical evidence, and public dataset discovery."
}

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Details

SourceOpenAI
Versionv1.0.1
AuthorOpenAI
CategoryResearch
AddedJun 6, 2026
UpdatedJun 6, 2026

Author

Yash @ Explainx

Links

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