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• • Scientific topic
  • Data management9
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• • Tool
  • Data Stewardship Wizard3
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• • Standard database or policy
  • FAIRsharing1
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• • Content provider
  • DTLS - Dutch Techcentre For Life Sciences3
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• • Keyword
  • data stewardship8
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  • software tools4
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• • Difficulty level
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• • Licence
  • Creative Commons Attribution 4.0 International5
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  • Creative Commons Attribution Non Commercial No Derivatives 4.0 International3
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• • Target audience
  • data stewards
  • Students413
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  • Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities5
  • Clinical Scientists5
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  • geneticists3
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  • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
  • General Physicians2
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  • Staff2
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  • biology and bioinformatics sophomore undergraduates2
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  • scientific researchers, public health professionals and clinicians 2
  • service administrators in organizations that want to make use of ELIXIR AAI 2
  • statisticians2
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  • Research Assistants and Research Associates1
  • Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.1
  • Any students, postdocs or RAs who have an interest in bioinformatics and who intend to conduct their own analyses on a Linux platform. Those intending to register for the upcoming Introduction to HPC course are very strongly encouraged to attend this short (two morning) course and it should be seen as a prerequisite for later courses to be offered on ChIP-Seq analysis and command line/Galaxy implementations of NGS workflows.1
  • Any students, postdocs or RAs who have an interest in programming and who intend to carry out computational analysis of their experimental data. Perl is often used for preparing input files for more specialized software such as R, and also to post-process the output from R and various other bioinformatics tools. It is a glue language allowing you to build pipelines of analyses of arbitrary complexity. This two day course is planned to be a gentle introduction to the basic concepts of Perl and will also introduce you to the BioPerl library of modules.1
  • Anyone1
  • Anyone interested in bioinformatics1
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• • Author
  • Christine Staiger3
  • Jan Slifka3
  • Tereza Machačová2
  • Alexey Kolodkin1
  • Celia van Gelder1
  • Jana Freeman1
  • Jasmin Karoline Böhmer1
  • Marek Suchanek1
  • Marek Suchánek1
  • Marko Vidak1
  • Mateusz Kuzak1
  • Olga Krebs1
  • Peter McQuilton1
  • Pinar Alper1
  • Roland Krause1
  • Susanna-Assunta Sansone1
  • Tereza Machacova1
  • Vojtěch Knaisl1
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• • Contributor
  • Roland Krause2
  • Vilem Ded2
  • Brane Leskosek1
  • Celia van Gelder1
  • Jan Slifka1
  • Marek Suchanek1
  • Marko Vidak1
  • Mateusz Kuzak1
  • Nene Barry1
  • Pinar Alper1
  • Regina Becker1
  • Robert Pergl1
  • Vojtech Knaisl1
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• • Resource type
  • Slides6
  • Video4
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  • Metadata Registry1
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• • Related resource
  • Slides4
  • Data Stewardship Wizard3
  • Workshop recording3
  • Recoding1
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• • Node
  • Czech Republic7
  • Netherlands4
  • Luxembourg2
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