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• • Scientific topic
  • Aerobiology4
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• • Operation
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• • Tool
  • BridgeDbR2
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• • Standard database or policy
  • Minimum Information about Plant Phenotyping Experiment2
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  • Crop Ontology1
  • Ensembl1
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  • MDL molfile Format1
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  • STRING: functional protein association networks1
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  • The Human Metabolome Database1
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  • Wikidata1
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• • Content provider
  • IFB French Institute of Bioinformatics6
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• • Keyword
  • data sharing3
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  • metadata2
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• • Difficulty level
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• • Licence
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• • Target audience
  • Biologists
  • Students325
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  • data steward / data manager3
  • life scientists3
  • rare disease patients representatives2
  • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
  • Bench biologists2
  • Biologists, Genomicists, Computer Scientists2
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  • data manager2
  • data managers2
  • database managers2
  • modelers2
  • policy officer2
  • post-docs2
  • project manager2
  • software developers, bioinformaticians2
  • 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
  • Beginners1
  • Biochemists1
  • Bioimage Analysts1
  • Biophysicists1
  • Cloud users1
  • Computer Vision scientists1
  • Curators1
  • Developers1
  • For beginners interested in using Python to solve problems in Biology.1
  • General Interest1
  • Graduate students1
  • IT support1
  • Image Analysts1
  • Life sciences1
  • Microbiologists1
  • Microscopists1
  • PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
  • Post-Doctoral Fellows1
  • Postdoctoral researcher1
  • Postgraduate students1
  • Professor1
  • Public Health Professionals1
  • Python for Biologists1
  • Researcher1
  • Scientists who want to optimise their literature searches1
  • Senior Managers1
  • Senior Researchers, Lab Managers, Postdocs and PhD Students with basic knowledge of DMPs. Participants in the "Introduction to Data Management Plans" workshop.1
  • Senior scientist/ Principal investigator1
  • Software providers1
  • System administrators1
  • Technicians1
  • Those interesting in exploring the data contained in their microscopy images, or those planning microscopy as part of their research programme1
  • beginner1
  • beginner bioinformaticians1
  • esearchers and research software engineers who would like to begin automating their analyses in workflows. 1
  • experimental nanoscientists1
  • geneticists1
  • journalists1
  • mass spectrometry1
  • mololecular cell biologists1
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• • Author
  • Egon Willighagen4
  • Frédéric de Lamotte4
  • Cyril Pommier2
  • Eija Korpelainen2
  • Maria Lehtivaara2
  • Philippe Lemercier2
  • Anne-Françoise Adam-Blondon1
  • Célia Michotey1
  • Daniel Faria1
  • Denise Slenter1
  • Dominic Waithe1
  • Elizabeth Arnaud1
  • Evangelia Papoutsoglou1
  • Hélène Chiapello1
  • Ian Korf1
  • Institut Pasteur, Bioinformatics and Biostatistics Hub1
  • Julien Seiler1
  • Keith Bradnam1
  • Lars Juhl Jensen1
  • Lionel Maurel1
  • Maria Doyle1
  • Matrix Science Ltd1
  • Paulette Lieby1
  • Stefano Mangiola1
  • Thomas Denecker1
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• • Contributor
  • Gautier Sarah3
  • Jean-François Dufayard3
  • Hélène Chiapello2
  • Julien Seiler2
  • Paulette Lieby2
  • Thomas Denecker2
  • Anatole Chessel1
  • Anne-Françoise Adam-Blondon1
  • Blaise Li1
  • Cyril Pommier1
  • Célia Michotey1
  • Eija Korpelainen1
  • Lionel Maurel1
  • Sébastien Mella1
  • Vincent Guillemot1
  • Volker Baecker1
  • Étienne Kornobis1
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• • Resource type
  • Slides7
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  • Book1
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• • Related resource
  • Chipster1
  • Ready For BioData Management?1
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• • Node
  • France7
  • Netherlands4
  • Finland2
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  • United Kingdom2
  • Denmark1
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• • Collection
  • Single-cell Omics Community - collection of courses and materials1
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