Jaqpot API
Generate, store and share predictive statistical and machine learning models
Jaqpot is a user-friendly web-based e-infrastructure containing many data analysis and modelling microservices integrated under harmonised APIs. The Jaqpot infrastructure allows the user to build applications that preprocess data, compute descriptors from raw data (such as electronic images), create, validate, store and share predictive machine learning models and generate reports in standard formats. Jaqpot has been developed by the Unit of Process Control and Informatics in the School of Chemical Engineering at the National Technical University of Athens.
For end-users
For developers
Type:
Analysis tool, Processing tool, Trained model, Model generation tool, Model, Data mining tool, Service
API Type:
REST under OAS3 specification, OAS3, REST, OpenAPI
Categories:
API Definitions for OpenRiskNet applications and data, Processing and analysis, Knowledge bases and data mining, Predictive toxicology
Applicability domain:
Computational modelling, Predictive toxicology
Topic:
Biokinetics, Predictive modelling
Targeted industry:
Chemicals, Nanotechnology
Targeted users:
Risk assessors, Researchers, Students, Software Developers, Data managers
Relevant OpenRiskNet case studies:
Support contact:
Documentation:
References and training materials:
- Chomenidis et al, 2017 (https://pubs.acs.org/doi/abs/10.1021/acs.jcim.7b00223)
- Video: https://www.youtube.com/channel/UC-j4T5s5li4iMm75AAOiJ7w
Provided by:
National Technical University of Athens
Contact:
Licence:
GNU Lesser General Public License 3 (LGPLv3.0)
Login required:
Yes
Implementation status:
API documentation available (Swagger-OpenAPI v2), Containerised, Available as web service, Application programming interface available
Integration status:
Integrated application
Service integration operations completed:
Utilises the OpenRiskNet APIs to ensure that each service is accessible to our proposed interoperability layer.
Is annotated according to the semantic interoperability layer concept using defined ontologies.
Is containerised for easy deployment in virtual environments of OpenRiskNet instances.
Has documented scientific and technical background.
Is deployed into the OpenRiskNet reference environment.
Is listed in the OpenRiskNet discovery services.
Is listed in other central repositories like eInfraCentral, bio.tools and TeSS (ELIXIR).
Provides legal and ethical statements on how the service can be used.
Resources & Training
RevK Pharmacokinetics OpenRiskNet Case study using Jaqpot web modelling platform
15 Oct 2018
→ Video
←
Target audience: Risk assessors, Researchers, OpenRiskNet stakeholders, Data modellers
Open access: yes
Licence: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Organisations involved: NTUA
Model RX OpenRiskNet - Case study using Jaqpot web modelling platform
15 Oct 2018
←
Related services:
Nano-QSAR to predict cytotoxicity of metal and metal oxide nanoparticles
Jaqpot API
Jaqpot GUI
Nano-QSAR to predict cytotoxicity of metal and metal oxide nanoparticles
Jaqpot API
Jaqpot GUI
Target audience: Risk assessors, Researchers, OpenRiskNet stakeholders, Data modellers
Open access: yes
Licence: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Organisations involved: NTUA