Mock sample for your project: Statutory Instruments API
Integrate with "Statutory Instruments API" from parliament.uk in no time with Mockoon's ready to use mock sample
Statutory Instruments API
parliament.uk
Version: v1
Start working with "Statutory Instruments API" right away by using this ready-to-use mock sample. API mocking can greatly speed up your application development by removing all the tedious tasks or issues: API key provisioning, account creation, unplanned downtime, etc.
It also helps reduce your dependency on third-party APIs and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
Description
An API exposing details of the various types of Statutory Instruments laid before Parliament.
Other APIs by parliament.uk
UK Parliament Search Service
Performs search on parliament.uk domain. Implements OpenSearch specification. Throttled at 10 requests per second per IP address.
Bills API
API to get and search for information regarding Bills, their stages, associated amendments and publications.
Written Questions Service API
Data around written questions and answers, as well as written ministerial statements.
House of Commons Oral and Written Questions API
An API that allows querying all tabled oral and written questions, and motions for the House of Commons.
Other APIs in the same category
UP State Council of Vocational Training, Uttar Pradesh, Uttar Pradesh
apisetu.gov.in
The State Council for Vocational Training (SCVT), Uttar Pradesh (http://www.vppup.in/) provides semester and consolidated mark sheets as well as vocational certificates for years 2013 to 2016.
BOARD OF HIGHER SECONDARY EXAMINATION, KERALA, Kerala
apisetu.gov.in
Board of Higher Secondary Examinations, Directorate of General Education, Government of Kerala has made available HSE Certificate cum Marklist of MARCH 2020, which can be pulled by students into their Digilocker account
CROssBAR Data API
ebi.ac.uk
About CROssBAR & data
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
CROssBAR is a comprehensive system that integrates large-scale biomedical data from various resources e.g UniProt, ChEMBL, Drugbank, EFO, HPO, InterPro & PubChem and stores them in a new NoSQL database, enrich these data with deep learning based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to the user via easy to interpret, interactive and heterogeneous knowledge graphs.
CROssBAR platform exposes a set of 12 endpoints to query data stored in the CROssBAR database. These endpoints help the user to find data of interest using different parameters provided by the API endpoint.
For example,
https://www.ebi.ac.uk/tools/crossbar/proteins?accession=A0A023GRW5 -> will provide protein information about accession 'A0A023GRW5' including its interactions, functions, cross-references, variations and more.
https://www.ebi.ac.uk/tools/crossbar/activities?moleculeChemblId=CHEMBL465983 -> will provide ChEMBL bio-interactions related information including targets and bio-activity measurements associated with molecule chembl id 'CHEMBL465983'
Knowledge graphs
Another use case of CROssBAR's API endpoints is in building knowledge graphs. These endpoints can be weaved together (output from one API endpoint fed as input to another API endpoint) programmatically to link nodes like protein, disease, drugs etc. as nodes of the graph. The endpoints are designed to be independent from each other which allows users the flexibility to drive biological networks from any facet e.g drug-centric, disease-centric, gene-centric etc. Our service for knowledge graph construction is available at https://crossbar.kansil.org.
An example for the part of the background queries on the CROssBAR API during the construction of a knowledge graph,
(with the aim of keeping the example simple, we have only included the processes related to pathways, genes/proteins and drugs/compounds)
In this example, we would like to find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome pathway annotations).
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome annotations)
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Get all proteins from â/proteinsâ API endpoint which have a reactome pathway name equal to "WNT ligand biogenesis and trafficking".
From the collection of uniprot protein accessions collected from step 1 above, we query â/targetsâ API endpoint to obtain the âtargetchemblidâs of these proteins.
From the collection of targetchemblids collected from step 2 above, we query â/activitiesâ API endpoint with pChEMBL value >=6, to obtain the âmoleculechemblidâs of the molecules that we need.
From the collection of uniprot protein accessions collected from step 1 above, we find out Drug names and ids from the â/drugsâ API endpoint that targets our proteins.
From the collection of âmoleculechemblidâs obtained in step3, we query â/moleculesâ endpoint to get the compounds that are interacting with the genes/proteins belonging to the âWNT ligand biogenesis and traffickingâ pathway.
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
CROssBAR is a comprehensive system that integrates large-scale biomedical data from various resources e.g UniProt, ChEMBL, Drugbank, EFO, HPO, InterPro & PubChem and stores them in a new NoSQL database, enrich these data with deep learning based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to the user via easy to interpret, interactive and heterogeneous knowledge graphs.
CROssBAR platform exposes a set of 12 endpoints to query data stored in the CROssBAR database. These endpoints help the user to find data of interest using different parameters provided by the API endpoint.
For example,
https://www.ebi.ac.uk/tools/crossbar/proteins?accession=A0A023GRW5 -> will provide protein information about accession 'A0A023GRW5' including its interactions, functions, cross-references, variations and more.
https://www.ebi.ac.uk/tools/crossbar/activities?moleculeChemblId=CHEMBL465983 -> will provide ChEMBL bio-interactions related information including targets and bio-activity measurements associated with molecule chembl id 'CHEMBL465983'
Knowledge graphs
Another use case of CROssBAR's API endpoints is in building knowledge graphs. These endpoints can be weaved together (output from one API endpoint fed as input to another API endpoint) programmatically to link nodes like protein, disease, drugs etc. as nodes of the graph. The endpoints are designed to be independent from each other which allows users the flexibility to drive biological networks from any facet e.g drug-centric, disease-centric, gene-centric etc. Our service for knowledge graph construction is available at https://crossbar.kansil.org.
An example for the part of the background queries on the CROssBAR API during the construction of a knowledge graph,
(with the aim of keeping the example simple, we have only included the processes related to pathways, genes/proteins and drugs/compounds)
In this example, we would like to find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome pathway annotations).
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome annotations)
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Get all proteins from â/proteinsâ API endpoint which have a reactome pathway name equal to "WNT ligand biogenesis and trafficking".
From the collection of uniprot protein accessions collected from step 1 above, we query â/targetsâ API endpoint to obtain the âtargetchemblidâs of these proteins.
From the collection of targetchemblids collected from step 2 above, we query â/activitiesâ API endpoint with pChEMBL value >=6, to obtain the âmoleculechemblidâs of the molecules that we need.
From the collection of uniprot protein accessions collected from step 1 above, we find out Drug names and ids from the â/drugsâ API endpoint that targets our proteins.
From the collection of âmoleculechemblidâs obtained in step3, we query â/moleculesâ endpoint to get the compounds that are interacting with the genes/proteins belonging to the âWNT ligand biogenesis and traffickingâ pathway.
Transport Department, Jharkhand
apisetu.gov.in
Driving License (DL) and Vehicle Registration Certificate (RC) of the State, as available on Parivahan Sewa (http://parivahan.co.in/) of Ministry of Road Transport and Highways, are available on DigiLocker. Citizens can pull these documents into their DigiLocker accounts.
eNanoMapper database
AMBIT REST web services [eNanoMapper profile] with free text & faceted search
opendatasoft
opendatasoft.com
eService (eDistrict), Arunachal Pradesh
apisetu.gov.in
eService (eDistrict), Arunachal Pradesh (http://eservice.arunachal.gov.in/) is the online service delivery portal for Arunachal Pradesh State Govt. Certain documents issued by it (e.g. Income, Caste, Domicile, Dependency, SC/ST ,Character, Residence Certificates etc) are made available in citizens' DigiLocker accounts.
Archive API
The Archive API provides lists of NYT articles by month going back to 1851. You can use it to build your own local database of NYT article metadata.
Department of Labour, Govt of Punjab, Punjab
apisetu.gov.in
APIs provided by Department of Labour, Govt of Punjab, Punjab.
Paramedical Council, Madhya Pradesh
apisetu.gov.in
Registration Certificate, Duplicate Registration Certificate, Good Standing Certificate, Registration Renewal, Tatkal Registration, Tatkal Registration Renewal and Upadhi/Certificate as issued by MP Paramedical Council (http://www.mppmc.ac.in) from April 2017 onwards can be pulled into citizens' DigiLocker accounts.
Semantic API
The Semantic API complements the Articles API. With the Semantic API, you get access to the long list of people, places, organizations and other locations, entities and descriptors that make up the controlled vocabulary used as metadata by The New York Times (sometimes referred to as Times Tags and used for Times Topics pages).
The Semantic API uses concepts which are, by definition, terms in The New York Times controlled vocabulary. Like the way facets are used in the Articles API, concepts are a good way to uncover articles of interest in The New York Times archive, and at the same time, limit the scope and number of those articles. The Semantic API maps to external semantic data resources, in a fashion consistent with the idea of linked data. The Semantic API also provides combination and relationship information to other, similar concepts in The New York Times controlled vocabulary.
The Semantic API uses concepts which are, by definition, terms in The New York Times controlled vocabulary. Like the way facets are used in the Articles API, concepts are a good way to uncover articles of interest in The New York Times archive, and at the same time, limit the scope and number of those articles. The Semantic API maps to external semantic data resources, in a fashion consistent with the idea of linked data. The Semantic API also provides combination and relationship information to other, similar concepts in The New York Times controlled vocabulary.