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• • Scientific topic
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• • Operation
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• • Standard database or policy
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  • ProteomeXchange1
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  • SUPERFAMILY1
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  • Simplified Molecular Input Line Entry Specification Format1
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  • The European Genome-phenome Archive1
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• • Content provider
  • Galaxy Training620
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  • GOBLET109
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  • Bioinformatics and Biomathematics Training Hub45
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  • Bioconductor24
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  • Bioschemas9
  • Department of Bioinformatics - BiGCaT, Maastricht University8
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• • Keyword
  • Galaxy Server administration53
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  • Single Cell36
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  • data management34
  • training32
  • Proteomics31
  • Rare Diseases & Research31
  • FAIR28
  • Genome28
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  • Transcriptomics28
  • Bioinformatics26
  • Development in Galaxy25
  • Using Galaxy and Managing your Data25
  • Microbiome24
  • Contributing to the Galaxy Training Material23
  • Genome Annotation23
  • Ecology22
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  • Statistics and machine learning21
  • Assembly20
  • Data analysis20
  • FAIR data20
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  • FAIR Data, Workflows, and Research19
  • ansible19
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  • Teaching and Hosting Galaxy training17
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  • life-sciences17
  • 10x16
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  • interactive-tools16
  • Ontologies15
  • R15
  • fair15
  • gmod15
  • jbrowse115
  • Anatomy Physiology and Atlases14
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  • Proteins13
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  • Metabolomics12
  • Pathway12
  • eLearning12
  • health-informatics12
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  • Cells and Organisms11
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  • Europe PMC11
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  • Introduction bioinformatics11
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  • Introduction9
  • Python biologists9
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  • metadata9
  • one-health9
  • transcriptomics9
  • workflows9
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  • DMP8
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• • Difficulty level
  • Not specified1156
  • Beginner665
  • Intermediate171
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• • Licence
  • License Not Specified1233
  • Creative Commons Attribution 4.0 International629
  • Creative Commons Attribution Share Alike 4.0 International49
  • Creative Commons Attribution Non Commercial Share Alike 4.0 International24
  • Other (Not Open)22
  • Creative Commons Attribution Non Commercial No Derivatives 4.0 International17
  • Other (Non-Commercial)15
  • Creative Commons Attribution Non Commercial 4.0 International7
  • MIT License7
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  • Apache License 2.05
  • GNU General Public License v3.0 only5
  • GNU General Public License v2.0 only2
  • Other (Open)2
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• • Target audience
  • Students413
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  • bioinformaticians35
  • PhD candidate27
  • Intermediate26
  • post-docs20
  • Academia/ Research Institution17
  • Industry17
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  • Bench biologists16
  • life scientists16
  • Beginners15
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  • beginner bioinformaticians14
  • Bioinformaticians13
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  • data stewards13
  • health professionals12
  • software developers, bioinformaticians11
  • Master students10
  • biocurators10
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  • PhD8
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  • Data Managers7
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  • Training Designers7
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  • All postgraduates6
  • Patient Advocates 6
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  • rare disease patients representatives5
  • Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities5
  • Clinical Scientists5
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  • General Interest5
  • Life scientists5
  • Undergraduate students5
  • biologists5
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  • postgrad5
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  • Professors4
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  • Life Scientists3
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  • geneticists3
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  • plant researchers3
  • postdoc3
  • project manager3
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  • teachers3
  • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
  • General Physicians2
  • Life sciences2
  • Life scientists with programming skills2
  • Policy makers2
  • Staff2
  • Support Staff2
  • Technicians2
  • biology and bioinformatics sophomore undergraduates2
  • data manager2
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  • experimeintal biologist researchers2
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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
  • web developers2
  • 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
  • Helena Rasche111
  • Bérénice Batut77
  • Saskia Hiltemann52
  • SIB Swiss Institute of Bioinformatics43
  • Björn Grüning37
  • Anton Nekrutenko27
  • bebatut27
  • Anthony Bretaudeau25
  • bgruening25
  • The Carpentries23
  • Michelle Brazas21
  • Fotis E. Psomopoulos20
  • Nicola Soranzo20
  • Simon Gladman20
  • Katarzyna Kamieniecka19
  • Yvan Le Bras19
  • Bazante Sanders18
  • Krzysztof Poterlowicz18
  • Nate Coraor18
  • Terri Attwood18
  • Wendi Bacon18
  • The Gulbenkian Training Programme in Bioinformatics17
  • Subina Mehta16
  • Mehmet Tekman15
  • Anne Fouilloux14
  • Maria Doyle14
  • Martin Morgan14
  • Donny Vrins13
  • Egon Willighagen13
  • Julia Jakiela13
  • Marie Josse13
  • Patricia Palagi13
  • shiltemann13
  • Cristóbal Gallardo12
  • Simon Andrews12
  • Simon Bray12
  • Wolfgang Maier12
  • nekrut12
  • Celia van Gelder11
  • Mathieu Bourgey11
  • Melanie Föll11
  • Pratik Jagtap11
  • Dave Clements10
  • Delphine Lariviere10
  • Khaled Jum'ah10
  • Mijke Jetten10
  • Paul Yorke10
  • Anup Kumar9
  • Daniel Blankenberg9
  • David Wishart9
  • Eija Korpelainen9
  • Jared Simpson9
  • John Chilton9
  • Lucille Delisle9
  • Marius van den Beek9
  • Pavankumar Videm9
  • Wandrille Duchemin9
  • allegra.via Via9
  • Allegra Via8
  • Anika Erxleben8
  • Avans Hogeschool8
  • Boris Steipe8
  • Helen Brown8
  • Malachi Griffith8
  • Maria Levchenko8
  • Matthias Fahrner8
  • Paul Zierep8
  • Timothy J. Griffin8
  • Alex Ostrovsky7
  • Alexander Botzki7
  • Alexandre Cormier7
  • Anne Pajon7
  • Erwan Corre7
  • Florian Christoph Sigloch7
  • Joachim Wolff7
  • Kaivan Kamali7
  • Korbinian Bösl7
  • Laura Cooper7
  • Laura Leroi7
  • Martin Čech7
  • Michael Charleston7
  • Personalized Health Informatics Group7
  • Praveen Kumar7
  • Robert Andrews7
  • Sergio Martínez Cuesta7
  • Stéphanie Robin7
  • pajanne7
  • stortebecker7
  • Andrew Mason6
  • Anna Syme6
  • Branka Franicevic6
  • Christopher Barnett6
  • Coline Royaux6
  • Dayane Araujo6
  • ELIXIR Goblet Train the Trainers6
  • Emma Leith6
  • Gildas Le Corguillé6
  • Maria Lehtivaara6
  • Philippe Rocca-Serra6
  • Sara Morsy6
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• • Contributor
  • Helena Rasche47
  • Saskia Hiltemann13
  • Pavankumar Videm9
  • Bazante Sanders8
  • Eija Korpelainen8
  • Wendi Bacon8
  • Sabine Österle7
  • Björn Grüning6
  • Daniel Sobral6
  • Donny Vrins5
  • Lieven Clement5
  • Pratik Jagtap5
  • Timothy J. Griffin5
  • David Philip Judge4
  • Hélène Chiapello4
  • Lucille Delisle4
  • Mehmet Tekman4
  • Roland Krause4
  • Wolfgang Maier4
  • Anthony Bretaudeau3
  • Bérénice Batut3
  • Clea Siguret3
  • Daniel Faria3
  • Daniel Neves3
  • Fotis E. Psomopoulos3
  • Gautier Sarah3
  • Janick Mathys3
  • Jean-François Dufayard3
  • Julia Jakiela3
  • Marisa Loach3
  • Marius van den Beek3
  • Miaomiao Zhou3
  • Michael Parkin3
  • Nate Coraor3
  • Our list of contributors can be found on our course page.3
  • Pedro Fernandes3
  • Pinar Alper3
  • Prof. Michael J E Sternberg3
  • Stephen Taylor3
  • Vasundra Touré3
  • Vilem Ded3
  • Yvan Le Bras3
  • Ahmed Hamid Awan2
  • Alex Mitchell2
  • Anil S. Thanki2
  • Bang Wong2
  • Bilal Shaikh2
  • Brane Leskosek2
  • Celia van Gelder2
  • Derek Wright2
  • Dr. Colin Combe2
  • Edwin den Haas2
  • Erik Garrison2
  • Erwan Corre2
  • Hans-Rudolf Hotz2
  • Harald Barsnes2
  • Ion Moraru2
  • Jeroen Gilis2
  • John Chilton2
  • José Manuel Domínguez2
  • Julien Seiler2
  • Katarzyna Kamieniecka2
  • Kenneth Hoste2
  • Krzysztof Poterlowicz2
  • Lennart Martens2
  • Lounès Chikhi2
  • Maria Lehtivaara2
  • Marie Josse2
  • Mark Beaumont2
  • Martin Krzywinski2
  • Martin Čech2
  • Matthias Bernt2
  • Mikko Rautiainen2
  • Mira Kuntz2
  • Ms. Yo Yehudi2
  • Nene Barry2
  • Paulette Lieby2
  • Ph.D.2
  • Prof. Frederic Fol Leymarie2
  • Prof. Richard Baldock2
  • Rob Finn2
  • Stian Soiland-Reyes2
  • Stéphanie Robin2
  • Thomas Denecker2
  • Toby Hodges2
  • Vitor Sousa2
  • Aitor Apaolaza 1
  • Federico Bianchini1
  • Adam Taranto1
  • Ajay Pillai1
  • Alexandre Cormier1
  • Allegra Via1
  • Alvaro Gonzalez1
  • Anatole Chessel1
  • Andrea Argentini1
  • Ankerl Yassine1
  • Anne-Françoise Adam-Blondon1
  • Aravind Venkatesan1
  • Armando Arredondo1
  • Armando Arredondo Soto1
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• • Resource type
  • e-learning590
  • Recorded webinar233
  • Video106
  • Tutorial95
  • slides93
  • Slides47
  • Course materials41
  • Webinar39
  • Training materials34
  • Slidedeck29
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  • Presentation25
  • course materials24
  • Scripts18
  • Exercise17
  • Handout17
  • Poster14
  • Slideshow13
  • PDF10
  • hands-on tutorial10
  • E-learning7
  • Talk5
  • Online tutorial4
  • slideck/ presentation4
  • FREE online course3
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  • online modules3
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  • Book2
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• • Related resource
  • Associated Training Datasets329
  • Associated Workflows246
  • Quarto/RMarkdown Notebook202
  • Jupyter Notebook (with Solutions)41
  • Jupyter Notebook (without Solutions)41
  • Input datasets32
  • ansible19
  • git-gat18
  • Research Data Management in Life Sciences11
  • Associated slides9
  • Proteomics dataset5
  • Sequence analysis dataset5
  • Transcriptomics dataset5
  • interactive-tools5
  • jobs5
  • Assembly dataset4
  • Slides4
  • Variant Analysis dataset4
  • Assembly slides3
  • DMPonline3
  • Data Stewardship Wizard3
  • Development in Galaxy slides3
  • Workshop recording3
  • covid193
  • deploying3
  • monitoring3
  • ro-crate3
  • workflows3
  • ChIP-Seq data analysis dataset2
  • Epigenetics dataset2
  • Genome Annotation dataset2
  • Metagenomics dataset2
  • R2
  • Sequence analysis slides2
  • collections2
  • cyoa2
  • kubernetes2
  • ncbi2
  • networking2
  • one-health2
  • storage2
  • training2
  • virology2
  • wireguard2
  • ARROWSMITH1
  • COBRA Toolbox1
  • CanCOGeN1
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  • Community1
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  • DDA1
  • DS Wizard ELIXIR-Norway 1
  • ENA1
  • Event1
  • FAIR1
  • GEEM1
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  • Genomics England PanelApp1
  • Introduction to Galaxy Analyses dataset1
  • Introduction to Galaxy dataset1
  • Next generation biobanking ontology (NGBO)1
  • Public Health Alliance for Genomic Epidemiology1
  • RCN Open data policy 1
  • RDMkit 1
  • Ready For BioData Management?1
  • Recoding1
  • SIG1
  • Statistics dataset1
  • TeSS GitHub1
  • TeSS Redesign Figma 1
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