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• • Scientific topic
  • Bioinformatics12
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  • Protein bioinformatics10
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  • Chemical biology7
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  • LC-MS-based metabolomics4
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  • Metabolites4
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  • Protein families4
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  • Targeted proteomics4
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• • Operation
  • Data handling6
  • File handling6
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  • Data deposition4
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• • Tool
  • Data Stewardship Wizard5
  • R1
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• • Standard database or policy
  • Ensembl2
  • ChEMBL: a large-scale bioactivity database for drug discovery1
  • Europe PubMed Central1
  • European Nucleotide Archive1
  • Expression Atlas1
  • IntAct molecular interaction database1
  • Integrated resource of protein families, domains and functional sites1
  • MetaboLights1
  • Protein Data Bank in Europe1
  • Protein Data Bank: Proteins, Interfaces, Structures and Assemblies1
  • PubMed Central1
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• • Content provider
  • European Bioinformatics Institute (EBI)103
  • GOBLET9
  • eNanoMapper7
  • Centre for Digital Life Norway4
  • Swiss Institute of Bioinformatics2
  • Barcelona Supercomputing Center (BSC)1
  • ELIXIR Norway1
  • ELIXIR Portugal1
  • Future Learn1
  • UCLouvain Bioinformatics Platform1
  • University of Cambridge Bioinformatics Training1
  • de.NBI1
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• • Keyword
  • Introduction9
  • PDBe8
  • Protein families7
  • Genome sequencing6
  • Sequence alignments6
  • Variants6
  • Bioinformatics5
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  • Data management plan4
  • Gene transcripts4
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  • Metadata4
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  • R4
  • data management4
  • R-programming3
  • API3
  • Chemical compounds3
  • Data management3
  • EOSC-Life3
  • EVA3
  • HMMs3
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  • Profile Hidden Markov models3
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  • Protein function3
  • BioMart2
  • Biocurators2
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  • De novo genome assembly2
  • ELIXIR-CONVERGE2
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  • Functional annotation2
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  • Literature2
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  • Multiple sequence alignments2
  • NMR spectroscopy2
  • Next-generation sequencing2
  • Phylogenetic profiling2
  • Protein sequences2
  • Protein signature models2
  • Protein-protein interaction networks2
  • Python2
  • Swiss-Prot2
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  • ncRNA2
  • AMR1
  • Advanced bioinformatics training1
  • Affymetrix1
  • Artificial intelligence1
  • Bacteria1
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  • Biochemical pathways1
  • Biocuration1
  • Bioimaging1
  • Bioinformatic databases1
  • Bioinformaticians1
  • Bioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material1
  • Biological samples1
  • Biomacromolecules1
  • Biostatistics1
  • CATH domain1
  • CMPO1
  • COVID-191
  • CRISPR1
  • ChIPSeq1
  • Chemical structures1
  • Chemogenomics1
  • Cloud1
  • Competencies1
  • Containers1
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  • Corona virus1
  • Cryo-electron microscopy1
  • DMP1
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  • DNA-protein interaction1
  • Data managment plan1
  • Data submission1
  • Databases1
  • De novo1
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• • Difficulty level
  • Not specified119
  • Beginner17
  • Intermediate4
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• • Licence
  • License Not Specified124
  • Creative Commons Attribution 4.0 International4
  • Creative Commons Attribution Non Commercial 4.0 International3
  • Creative Commons Zero v1.0 Universal3
  • Creative Commons Attribution Share Alike 4.0 International2
  • Apache License 2.01
  • Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
  • MIT License1
  • Other (Open)1
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• • Target audience
  • PhD students
  • Students413
  • Researchers206
  • Biologists, Genomicists, Computer Scientists169
  • Post-Doctoral Fellows162
  • Clinicians104
  • Graduate students85
  • Galaxy Administrators78
  • Graduate Students78
  • Novice44
  • Instructors42
  • Biologists40
  • Life Science Researchers38
  • bioinformaticians35
  • PhD candidate27
  • Intermediate26
  • post-docs20
  • Academia/ Research Institution17
  • Industry17
  • Non-Profit Organisation17
  • Bench biologists16
  • life scientists16
  • Beginners15
  • Healthcare15
  • beginner bioinformaticians14
  • Bioinformaticians13
  • Trainers13
  • data stewards13
  • health professionals12
  • software developers, bioinformaticians11
  • Master students10
  • biocurators10
  • healthcare professionals10
  • PhD candidates9
  • Biomedical researchers8
  • Health Care Professionals8
  • PhD8
  • Biomedical Researchers7
  • Data Managers7
  • Data Scientists7
  • Research Scientists7
  • Scientists7
  • Training Designers7
  • Training instructors7
  • All postgraduates6
  • Patient Advocates 6
  • Post Docs6
  • data managers6
  • rare disease patients representatives5
  • Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities5
  • Clinical Scientists5
  • Computational biologists5
  • General Interest5
  • Life scientists5
  • Undergraduate students5
  • biologists5
  • computational scientists5
  • postgrad5
  • Chemists4
  • Laboratory technicians4
  • Professors4
  • Veterinarians4
  • modelers4
  • postdocs4
  • postdoctoral researchers4
  • programmers4
  • Life Scientists3
  • PhD Students3
  • Postgraduate students3
  • data steward / data manager3
  • geneticists3
  • medical students3
  • plant researchers3
  • postdoc3
  • project manager3
  • software engineers3
  • 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
  • database managers2
  • experimeintal biologist researchers2
  • policy officer2
  • 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
  • Korbinian Bösl4
  • Sergio Martínez Cuesta4
  • Egon Willighagen2
  • Mick Watson2
  • Morris Riedel2
  • Paul Yorke2
  • Adam Hospital1
  • Ane Møller Gabrielsen1
  • Anne Heidi Skogholt1
  • Annette McGrath1
  • Beate Krøvel Humberset1
  • Clair Castle1
  • Daniel Faria1
  • Dominic Waithe1
  • Elin Stangeland1
  • Erik Bongcam-Rudloff1
  • Erik Hjerde1
  • Espen Aberg1
  • Espen Mikal Robertsen1
  • Federico Bianchini1
  • Friederike Ehrhart1
  • Gabriella Rustici1
  • Genís Bayarri1
  • Grégoire Rossier1
  • Heine Skipenes1
  • Heinz Stockinger1
  • Hilde Eikemo1
  • Institut Pasteur, Bioinformatics and Biostatistics Hub1
  • João Cardoso1
  • Kjersti Enerstvedt1
  • Kjersti Rise1
  • Lars Soligard1
  • Linda Rieswijk1
  • Lucía Fabio1
  • Maria Victoria ...1
  • Marie-Claude Blatter1
  • Nadia Tonello1
  • Nils Peder Willassen1
  • Nina Jeliazkova1
  • Patricia Palagi1
  • Pau Andrio1
  • Philippe Lemercier1
  • Robin Engler1
  • Solveig Fossum-Raunehaug1
  • Teresa Attwood1
  • The GOBLET Foundation1
  • Tore Linde1
  • Vassilios Ioannidis1
  • Volker Flegel1
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• • Contributor
  • Anatole Chessel1
  • Blaise Li1
  • Charlotte Soneson1
  • Clair Castle1
  • Erik Hjerde1
  • Espen Aberg1
  • Espen Mikal Robertsen1
  • Janick Mathys1
  • Josep Lluís Gelpí1
  • Koen Van den Berge1
  • Laurent Gatto1
  • Lieven Clement1
  • Luigi Grassi1
  • Marta Silva1
  • Martin Morgan1
  • Nils Peder Willassen1
  • Oliver Crook1
  • Stian Soiland-Reyes1
  • Sébastien Mella1
  • Vincent Guillemot1
  • Volker Baecker1
  • Étienne Kornobis1
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• • Resource type
  • e-learning102
  • Slides5
  • Online tutorial4
  • course materials4
  • Training materials3
  • Tutorial3
  • Video3
  • Jupyter notebook2
  • PDF2
  • Slideshow1
  • slideck/ presentation1
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• • Related resource
  • DMPonline1
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• • Node
  • EMBL-EBI103
  • Norway5
  • Belgium3
  • United Kingdom3
  • Spain2
  • Switzerland2
  • France1
  • Germany1
  • Portugal1
  • Slovenia1
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• • Date added
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