June 3, 2020 Presentation Open Access

Martin Himly (PLUS); Iseult Lynch; Dieter Maier; Philip Doganis

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    "description": "<p>Under the subtitle <strong>&ldquo;Take your research from the bench to the community by making your models available as a web service&rdquo;,</strong> attendees learned how to use the <em>Jaqpot</em> suite and python to go from data to model, starting from a common CSV file.&nbsp;</p>\n\n<p><em>Jaqpot </em>is a computational platform for <em>in silico</em> 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.</p>\n\n<p>Attached you find the following presentations:</p>\n\n<p>1. Intro to NanoCommons by Martin Himly, PLUS</p>\n\n<p>2. Electronic Lab Notebooks by Iseult Lynch, UoB</p>\n\n<p>3. NanoCommons Knowledgebase by Dieter Maier, Biomax</p>\n\n<p>4. Jaqpot Suite by Philip Doganis, NTUA</p>", 
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    "title": "Online Jaqpot Hackathon - Take your research from the bench to the community by making your models available as a web service", 
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        "affiliation": "Paris Lodron University of Salzburg, Dept. Biosciences", 
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