Datasets

NANDO

Website

NANDO is a vocabulary that systematically and comprehensively organizes designated intractable diseases and pediatric chronic specific diseases, including their subtypes. Each disease in NANDO is linked to Mondo (Monarch Disease Ontology), a disease vocabulary adopted by many international databases and systems, enabling integration with major international disease databases such as OMIM and Orphanet.

Dataset specifications

Tags
Health/Disease Tag sequence (nucleic acid) Ontology/ Terminology/Nomenclature
Provenance Original
Registration Submitted
Data provider
Creator
  • Kota NinomiyaGraduate School of Pharmaceutical Sciences, The University of Tokyo / National Institute of Public Health
  • Terue TakatsukiDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems
  • Jae-Moon ShinDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems
  • Yasunori YamamotoDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems
  • Toshiaki KatayamaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems
  • Hiroshi MasuyaIntegrated Bioresource Information Division, BioResource Research Center, Riken
  • Shuichi KawashimaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems
  • Soichi OgishimaAdvanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
  • Atsuo KikuchiGraduate School of Medicine, Tohoku University
  • Toyofumi FujiwaraDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems
Issued 2023-11-21
Licenses
  • Attribution 4.0 International (CC BY 4.0) Database Center for Life Science
Version 2024-11-21
Download https://rdfportal.org/download/nando
SPARQL Endpoint https://rdfportal.org/primary/sparql

Dataset statistics

Triples
36931
Subjects
2780
Properties
15
Objects
19742
Classes
4

SPARQL example queries

Example 1

Run on Endpoint 
# Retrieve a full list of Ids with Japanese and English labels.

PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dcterms: <http://purl.org/dc/terms/>
PREFIX owl: <http://www.w3.org/2002/07/owl#>

SELECT (STR(?id) AS ?ID) (STR(?nameJ) AS ?Label_Ja) (STR(?nameE) AS ?Label_En)
FROM <http://nanbyodata.jp/ontology/nando>
WHERE
{
  ?s a owl:Class ;
     dcterms:identifier ?id
  OPTIONAL {
    ?s rdfs:label ?nameJ
    FILTER (lang(?nameJ) = "ja")
  }
  OPTIONAL {
    ?s rdfs:label ?nameE
    FILTER (lang(?nameE) = "en")
  }
}
ORDER BY ?id

Example 2

Run on Endpoint 
# Retrieve a list of Ids whose descriptions include “糖尿” with Japanese and English labels.

PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dcterms: <http://purl.org/dc/terms/>
PREFIX owl: <http://www.w3.org/2002/07/owl#>

SELECT (STR(?id) AS ?ID) (STR(?nameJ) AS ?Label_Ja) (STR(?nameE) AS ?Label_En)
FROM <http://nanbyodata.jp/ontology/nando>
WHERE
{
  ?s a owl:Class ;
     dcterms:identifier ?id  
  OPTIONAL {
    ?s rdfs:label ?nameJ
    FILTER (lang(?nameJ) = "ja") 
  }
  OPTIONAL {
    ?s rdfs:label ?nameE
    FILTER (lang(?nameE) = "en")
      }
 ?s dcterms:description ?description
 FILTER(CONTAINS(?description, "糖尿"))
}
ORDER BY ?id

Schema diagram

Schema diagram for nando
Schema diagram for nando