Jaqpot Hackathon - Training materials
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...
Keywords: nanoinformatics, toxicity prediction, e-tools, Modeling, data FAIRness
Jaqpot Hackathon - Training materials
https://infrastructure.nanocommons.eu/events/40/online-jaqpot-hackathon-take-your-research-from-the-bench-to-the-community-by-making-your-models-available-as-a-web-service/
http://tess.elixir-uk.org/materials/jaqpot-hackathon-training-materials
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
Martin Himly, PLUS
Iseult Lynch, UoB
Dieter Maier, Biomax
Philip Doganis, NTUA
Lee Walker, UKCEH
Christine Balmer, UKCEH
Irini Liampa, NTUA
Pantelis Karatzas, NTUA
Beatriz Alfaro Serrano, BNN
Harry Sarimveis, NTUA
nanoinformatics, toxicity prediction, e-tools, Modeling, data FAIRness
PPB18 - Programming in Python for Biologists (2018)
Training Material that covers the basic concepts of Python, such as calculation, organization of data, reading and writing files, program logic and writing larger programs. All the examples and exercises focus on solving biological problems.
Operations: Data handling, Data retrieval
Keywords: Bioinformatics, Biology, Biological databases
Resource type: Documentation, Exercise, Handout, Scripts
PPB18 - Programming in Python for Biologists (2018)
https://gtpb.github.io/PPB18/
http://tess.elixir-uk.org/materials/ppb18-programming-in-python-for-biologists-2018
Training Material that covers the basic concepts of Python, such as calculation, organization of data, reading and writing files, program logic and writing larger programs. All the examples and exercises focus on solving biological problems.
The Gulbenkian Training Programme in Bioinformatics
Allegra Via
Vincenza Colonna
David Philip Judge
Bioinformatics, Biology, Biological databases
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare