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ericz1803 / biomedical_id_resolver.js

js library for converting biological ids in batch

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biomedical_id_resolver.js

js library for resolving biological ids to their equivalent ids in batch

Install

$ npm i biomedical_id_resolver

Usage

const resolve = require('biomedical_id_resolver');

// input should be an object, with semantic type as the key, and array of CURIEs as value
let input = {
    "Gene": ["NCBIGene:1017", "NCBIGene:1018", "HGNC:1177"],
    "SmallMolecule": ["CHEBI:15377"],
    "Disease": ["MONDO:0004976"],
    "Cell": ["CL:0002372"]
  };

(async () => {
  const resolver = new resolve();
	console.log(await resolver.resolve(input);
	//=> {'NCBIGene:1017': {...}, 'NCBIGene:1018': {...}, 'HGNC:1177': {...}, 'CHEBI:15377': {...}, 'MONDO:0004976': {...}, 'CL:0002372': {...}}
})();

Output Schema

  • Output is a javascript Object

  • The root keys are CURIES (e.g. NCBIGene:1017) which are passed in as input

  • The values represents resolved identifiers

  • Each CURIE will have 4 required fields

    • id: the primary id (selected based on the ranking described in the next section) and label

    • curies: an array, each element represents a resolved id in CURIE format

    • type: the semantic type of the identifier

    • db_ids: original ids from source database, could be curies or non-curies.

  • if an ID can not be resolved using the package, it will have an additional field called "flag", with value equal to "failed"

  • Example Output

{
  "NCBIGene:1017": {
    "id": {
      "label": "cyclin dependent kinase 2",
      "identifier": "NCBIGene:1017"
    },
    "db_ids": {
      "NCBIGene": [
        "1017"
      ],
      "ENSEMBL": [
        "ENSG00000123374"
      ],
      "HGNC": [
        "1771"
      ],
      "SYMBOL": [
        "CDK2"
      ],
      "UMLS": [
        "C1332733",
        "C0108855"
      ],
      "name": [
        "cyclin dependent kinase 2"
      ]
    },
    "type": "Gene",
    "curies": [
      "NCBIGene:1017",
      "ENSEMBL:ENSG00000123374",
      "HGNC:1771",
      "SYMBOL:CDK2",
      "UMLS:C1332733",
      "UMLS:C0108855"
    ]
  }
}

Query Using SRI node normalizer

Usage

const resolver = require('biomedical_id_resolver');

// input must be an object, with semantic type as the key, and array of CURIEs as value
let input = {
    "Gene": ["NCBIGene:1017", "NCBIGene:1018", "HGNC:1177"],
    "SmallMolecule": ["CHEBI:15377"],
    "Disease": ["MONDO:0004976"],
    "Cell": ["CL:0002372"]
};

(async () => {
  let res = await resolver.resolveSRI(input);
  console.log(res);
})();

Example Output

The output contains id and equivalent_identifiers straight from SRI as well as the same fields as the base resolver to make it backwards compatible with it.

{
  "NCBIGene:1017": [
    {
      "id": {
        "identifier": "NCBIGene:1017",
        "label": "CDK2"
      },
      "equivalent_identifiers": [
        {
          "identifier": "NCBIGene:1017",
          "label": "CDK2"
        },
        {
          "identifier": "ENSEMBL:ENSG00000123374"
        },
        {
          "identifier": "HGNC:1771",
          "label": "CDK2"
        },
        {
          "identifier": "OMIM:116953"
        },
        {
          "identifier": "UMLS:C1332733",
          "label": "CDK2 gene"
        }
      ],
      "type": [
        "biolink:Gene",
        "biolink:GeneOrGeneProduct",
        "biolink:BiologicalEntity",
        "biolink:NamedThing",
        "biolink:Entity",
        "biolink:MacromolecularMachineMixin"
      ],
      "primaryID": "NCBIGene:1017",
      "label": "CDK2",
      "attributes": {},
      "semanticType": "Gene",
      "semanticTypes": [
        "biolink:Gene",
        "biolink:GeneOrGeneProduct",
        "biolink:BiologicalEntity",
        "biolink:NamedThing",
        "biolink:Entity",
        "biolink:MacromolecularMachineMixin"
      ],
      "dbIDs": {
        "NCBIGene": [
          "1017"
        ],
        "ENSEMBL": [
          "ENSG00000123374"
        ],
        "HGNC": [
          "1771"
        ],
        "OMIM": [
          "116953"
        ],
        "UMLS": [
          "C1332733"
        ],
        "name": [
          "CDK2",
          "CDK2 gene"
        ]
      },
      "curies": [
        "NCBIGene:1017",
        "ENSEMBL:ENSG00000123374",
        "HGNC:1771",
        "OMIM:116953",
        "UMLS:C1332733"
      ]
    }
  ]
}

Available Semantic Types & prefixes

Gene, Transcript, Protein ID resolution is done through MyGene.info API

  • Gene

    1. NCBIGene
    2. ENSEMBL
    3. HGNC
    4. MGI
    5. OMIM
    6. UMLS
    7. SYMBOL
    8. UniProtKB
    9. name

  • Transcript

    1. ENSEMBL
    2. SYMBOL
    3. name

  • Protein

    1. UniProtKB
    2. ENSEMBL
    3. UMLS
    4. SYMBOL
    5. name

Variant ID resolution is done through MyVariant.info API

  • SequenceVariant
    1. CLINVAR
    2. DBSNP
    3. HGVS
    4. MYVARIANT_HG19

SmallMolecule, Drug ID resolution is done through MyChem.info API

  • SmallMolecule

    1. PUBCHEM.COMPOUND
    2. CHEMBL.COMPOUND
    3. UNII
    4. CHEBI
    5. DRUGBANK
    6. MESH
    7. CAS
    8. HMDB
    9. KEGG.COMPOUND
    10. INCHI
    11. INCHIKEY
    12. UMLS
    13. LINCS
    14. name

  • Drug

    1. RXCUI
    2. NDC
    3. DRUGBANK
    4. PUBCHEM.COMPOUND
    5. CHEMBL.COMPOUND
    6. UNII
    7. CHEBI
    8. MESH
    9. CAS
    10. HMDB
    11. KEGG.COMPOUND
    12. INCHI
    13. INCHIKEY
    14. UMLS
    15. LINCS
    16. name

Disease, ClinicalFinding ID Resolution is done through MyDisease.info API

  • Disease

    1. MONDO
    2. DOID
    3. OMIM
    4. ORPHANET
    5. EFO
    6. UMLS
    7. MESH
    8. MEDDRA
    9. NCIT
    10. SNOMEDCT
    11. HP
    12. GARD
    13. name

  • ClinicalFinding

    1. LOINC
    2. NCIT
    3. EFO
    4. name

Pathway ID Resolution is done through biothings.ncats.io/geneset API

  • Pathway
    1. GO
    2. REACT
    3. KEGG
    4. SMPDB
    5. PHARMGKB.PATHWAYS
    6. WIKIPATHWAYS
    7. BIOCARTA
    8. name

MolecularActivity ID Resolution is done through BioThings Gene Ontology Molecular Activity API

  • MolecularActivity
    1. GO
    2. REACT
    3. RHEA
    4. MetaCyc
    5. KEGG.REACTION
    6. name

CellularComponent ID Resolution is done through BioThings Gene Ontology Cellular Component API

  • CellularComponent
    1. GO
    2. MetaCyc
    3. name

BiologicalProcess ID Resolution is done through BioThings Gene Ontology Biological Process API

  • BiologicalProcess

    1. GO
    2. REACT
    3. MetaCyc
    4. KEGG
    5. name

AnatomicalEntity ID Resolution is done through BioThings UBERON API

  • AnatomicalEntity
    1. UBERON
    2. UMLS
    3. MESH
    4. NCIT
    5. name

PhenotypicFeature ID Resolution is done through BioThings HPO API

  • PhenotypicFeature
    1. HP
    2. EFO
    3. NCIT
    4. UMLS
    5. MEDDRA
    6. MP
    7. SNOMEDCT
    8. MESH
    9. name

Cell ID Resolution is done through Biothings Cell Ontology API

  • Cell
    1. CL
    2. NCIT
    3. MESH
    4. EFO
    5. name

Development

  1. Install Node 12 or later. You can use the package manager of your choice. Tests need to pass in Node 12 and 14.
  2. Clone this repository.
  3. Run npm ci to install the dependencies.
  4. scripts are stored in /src folder
  5. Add test to /__tests__ folder
  6. run npm run release to bump version and generate change log
  7. run npx depcheck to check for unused packages in package.json

CHANGELOG

See CHANGELOG.md

About

js library for converting biological ids in batch

License:Apache License 2.0

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