Under the subtitle “Take your research from the bench to the community by making your models available as a web service”, attendees learned how to use the Jaqpot suite and python to go from data to model, starting from a common CSV file.

Jaqpot is a computational platform for in silico modelling of chemical compounds, that provides both access to its services both over a User Interface (GUI) and an Application Programming Interface (API). It is a cloud-ready application that uses the benefits of Java, R and Python, having incorporated functionality by various established and open-source machine learning and data analysis toolkits, while algorithms in any programming algorithm can be added to Jaqpot.

Attached you find the following presentations:

1. Intro to NanoCommons by Martin Himly, PLUS

2. Electronic Lab Notebooks by Iseult Lynch, UoB

3. NanoCommons Knowledgebase by Dieter Maier, Biomax

4. Jaqpot Suite by Philip Doganis, NTUA