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• • Scientific topic
  • Algorithms32
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• • Tool
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  • Galaxy Training325
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• • Keyword
  • Single Cell34
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  • Microbiome24
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• • Target audience
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  • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
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  • 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
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  • For beginners interested in using Python to solve problems in Biology.1
  • General Interest1
  • Graduate students1
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  • PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
  • Post-Doctoral Fellows1
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  • Professor1
  • Public Health Professionals1
  • Python for Biologists1
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  • 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
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  • journalists1
  • mass spectrometry1
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• • Author
  • Bérénice Batut43
  • Helena Rasche30
  • Saskia Hiltemann25
  • Anton Nekrutenko22
  • Katarzyna Kamieniecka18
  • Yvan Le Bras18
  • Krzysztof Poterlowicz17
  • Wendi Bacon16
  • Anne Fouilloux14
  • Bazante Sanders14
  • Mehmet Tekman14
  • Nicola Soranzo14
  • Julia Jakiela13
  • Marie Josse13
  • Maria Doyle12
  • The Carpentries12
  • Anthony Bretaudeau11
  • Dave Clements10
  • Donny Vrins10
  • Subina Mehta10
  • Anup Kumar9
  • Khaled Jum'ah9
  • Pavankumar Videm9
  • Anika Erxleben8
  • Björn Grüning8
  • Cristóbal Gallardo7
  • Delphine Lariviere7
  • Joachim Wolff7
  • Kaivan Kamali7
  • Laura Cooper7
  • Paul Zierep7
  • Robert Andrews7
  • Andrew Mason6
  • Anne Pajon6
  • Branka Franicevic6
  • Coline Royaux6
  • Melanie Föll6
  • Michael Charleston6
  • Philippe Rocca-Serra6
  • Sara Morsy6
  • Simon Gladman6
  • Wolfgang Maier6
  • Xenia Perez Sitja6
  • Alexandre Cormier5
  • Anna Syme5
  • Beatriz Serrano-Solano5
  • Daniel Blankenberg5
  • Dechen Bhuming5
  • Erwan Corre5
  • Fotis E. Psomopoulos5
  • Katherine Do5
  • Kellie Snow5
  • Korneel Hens5
  • Laura Leroi5
  • Morgan Howells5
  • Munazah Andrabi5
  • Nick Juty5
  • Pratik Jagtap5
  • Saskia Lawson-Tovey5
  • Alex Ostrovsky4
  • Alireza Khanteymoori4
  • Clemens Blank4
  • Engy Nasr4
  • Florian Heyl4
  • Mallory Freeberg4
  • Simone Leo4
  • Stéphanie Robin4
  • Vivek Bhardwaj4
  • Avans Hogeschool3
  • Belinda Phipson3
  • Caterina Fuster-Barceló3
  • Emma Leith3
  • Fidel Ramirez3
  • Florian Christoph Sigloch3
  • Gildas Le Corguillé3
  • Guillaume Gricourt3
  • Ioana Popescu3
  • Jean-Loup Faulon3
  • Joan Hérisson3
  • Kenza Bazi-Kabbaj3
  • Lisanna Paladin3
  • Lucille Delisle3
  • Marius van den Beek3
  • Mateo Boudet3
  • Mo Heydarian3
  • Mélanie Petera3
  • Simon Bray3
  • Sofoklis Keisaris3
  • Thomas Duigou3
  • Andrea Bagnacani2
  • Anne Siegel2
  • Camila Goclowski2
  • Chao Zhang2
  • Christopher Barnett2
  • Cristina Martins Rodrigues2
  • David Christiany2
  • Diana Chiang Jurado2
  • Dominik Brilhaus2
  • Ekaterina Polkh2
  • Eli Chadwick2
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• • Contributor
  • Helena Rasche33
  • Saskia Hiltemann8
  • Pavankumar Videm7
  • Wendi Bacon7
  • Pratik Jagtap5
  • Timothy J. Griffin5
  • Mehmet Tekman4
  • Bazante Sanders3
  • Bérénice Batut3
  • Clea Siguret3
  • Fotis E. Psomopoulos3
  • Julia Jakiela3
  • Marisa Loach3
  • Miaomiao Zhou3
  • Wolfgang Maier3
  • Yvan Le Bras3
  • Ahmed Hamid Awan2
  • Björn Grüning2
  • Katarzyna Kamieniecka2
  • Krzysztof Poterlowicz2
  • Lucille Delisle2
  • Marie Josse2
  • Ankerl Yassine1
  • Anthony Bretaudeau1
  • Ava Hoffman1
  • Bethan Manley1
  • Candace Savonen1
  • Cristóbal Gallardo1
  • Ekaterina Polkh1
  • Eli Chadwick1
  • Elizabeth Humphries1
  • Erwan Corre1
  • Frederick Tan1
  • Glinez Thibaud1
  • Graeme Tyson1
  • Hans-Rudolf Hotz1
  • James Taylor1
  • Katherine Cox1
  • Leandro Liborio1
  • Martin Čech1
  • Matthias Bernt1
  • Munazah Andrabi1
  • Natalie Kucher1
  • Pablo Moreno1
  • Stéphanie Robin1
  • Teresa Müller1
  • The Carpentries1
  • Tim Beck1
  • Toby Hodges1
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• • Resource type
  • e-learning268
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• • Related resource
  • Associated Training Datasets240
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  • interactive-tools3
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  • workflows3
  • covid192
  • ncbi2
  • DDA1
  • ENA1
  • FAIR1
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  • apollo21
  • fair1
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