iiRecord
Agentic AI Atlas · long-read-analysis
lib-process:bioinformatics--long-read-analysisa5c.ai
II.
LibraryProcess JSON

lib-process:bioinformatics--long-read-analysis

Structured · live

long-read-analysis json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:bioinformatics--long-read-analysis",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "long-read-analysis",
    "description": "Long-Read Sequencing Analysis - Processing and analysis of Oxford Nanopore and PacBio\nlong-read sequencing data for genome assembly, structural variant detection, and methylation analysis.",
    "libraryPath": "library/specializations/domains/science/bioinformatics/long-read-analysis.js",
    "specialization": "bioinformatics",
    "references": [
      "- Minimap2: https://github.com/lh3/minimap2\n- Flye: https://github.com/fenderglass/Flye\n- Medaka: https://github.com/nanoporetech/medaka\n- PEPPER-Margin-DeepVariant: https://github.com/kishwarshafin/pepper\n- Sniffles: https://github.com/fritzsedlazeck/Sniffles\n- Megalodon: https://github.com/nanoporetech/megalodon"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/bioinformatics/long-read-analysis', {\n  projectName: 'Long-Read Genome Assembly',\n  platform: 'nanopore',\n  dataFiles: ['/data/reads.fastq.gz'],\n  analysisType: 'assembly'\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "skill-area:python-data-pipelines",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "domain:bioinformatics",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "role:biomedical-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "specialization:biomedical-informatics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:bioinformatics--long-read-analysis",
      "to": "specialization:bioinformatics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}