Presentation Open Access
Martin Himly (PLUS);
Iseult Lynch;
Dieter Maier;
Philip Doganis
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
Name | Size | |
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Electronic lab notebooks_Iseult Lynch_Jaqpot.- Hackathon_200603.pdf
md5:e62846d9b6b49032b15c6972ac1b98d7 |
2.7 MB | Download |
Intro_to_NanoCommons_Martin Himly_Jaqpot-Hackathon_200306.pdf
md5:1658e1f08ce5418a394cb4d6ba3466cc |
1.6 MB | Download |
Jaqpot suite_Philip Doganis_Jaqpot-Hackathon_200603.pdf
md5:5e984721ea60316db52e3fb710427d26 |
6.0 MB | Download |
NanoCommons Knowledgebase_Dieter Maier_Jaqpot-Hackathon_200603.pdf
md5:0d400a356fa4d4b454c863a9048b6d1e |
3.7 MB | Download |
All versions | This version | |
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Views | 354 | 354 |
Downloads | 94 | 94 |
Data volume | 284.7 MB | 284.7 MB |
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Unique downloads | 68 | 68 |