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• • Content provider
  • European Bioinformatics Institute (EBI)13
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• • Keyword
  • IntAct Molecular Interaction Database5
  • Cross domain (cross-domain)4
  • BioModels database3
  • Complex Portal3
  • Data analysis3
  • HMMER - protein homology search3
  • InterPro3
  • Introduction to bioinformatics3
  • Pfam3
  • Protein classification3
  • Proteins (proteins)3
  • Reactome pathways database3
  • UniProt: The Universal Protein Resource3
  • Electron Microscopy Public Image Archive - EMPIAR2
  • Logic modelling2
  • PDBeFold2
  • Pathway enrichment analysis2
  • Protein sequence2
  • Protein structure2
  • Reactome Pathways Analysis2
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  • AlphaFold Database1
  • Ensembl1
  • European Nucleotide Archive1
  • Introductory1
  • Protein Data Bank in Europe1
  • Protein- protein interaction1
  • Protein-protein interaction1
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• • Scientific topic
  • Bioinformatics4
  • Biological modelling4
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  • Systems biology4
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  • Biological network analysis3
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  • Biological network prediction3
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  • Biological model2
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  • Protein bioinformatics2
  • Protein databases2
  • Protein informatics2
  • Proteins2
  • Amino acid sequence1
  • Amino acid sequences1
  • Biological pathway analysis1
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  • Biological pathway prediction1
  • Content management1
  • DNA variation1
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  • Exometabolomics1
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  • Functional pathway analysis1
  • Gene and protein families1
  • Gene families1
  • Gene family1
  • Gene system1
  • Genes, gene family or system1
  • Genetic variation1
  • Genomic variation1
  • LC-MS-based metabolomics1
  • MS-based metabolomics1
  • MS-based targeted metabolomics1
  • MS-based untargeted metabolomics1
  • Mass spectrometry-based metabolomics1
  • Metabolites1
  • Metabolome1
  • Metabolomics1
  • Metabonomics1
  • Metadata management1
  • MicroRNA sequencing1
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  • Pathway analysis1
  • Pathway comparison1
  • Pathway modelling1
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  • Record management1
  • Research data management (RDM)1
  • Search1
  • Small RNA sequencing1
  • Small RNA-Seq1
  • Small-Seq1
  • Somatic mutations1
  • Transcriptome profiling1
  • WTSS1
  • Whole transcriptome shotgun sequencing1
  • miRNA-seq1
  • protein1
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• • Event type
  • Workshops and courses13
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• • Venue
  • European Bioinformatics Institute, Hinxton6
  • University of Costa Rica (UCR), Ciudad universitaria Rodrigo Facio Brenes1
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• • Country
  • United Kingdom6
  • Costa Rica1
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• • Target audience
  • This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
  • Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course. Though programming skills are not a prerequisite for attending the course, we will ask participants to specify their current level of programming skills in the applications. This will allow the mentors to target the group projects better to the skills and needs of the final course participants.1
  • This course is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but participants should have an undergraduate level understanding of biology. For those who wish to attend the session on programmatic access a prior knowledge of coding/programming would be of benefit. For an introduction to the concept of web services and how you can use them to access the tools and data available at EMBL-EBI please watch our webinar.1
  • This course is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but participants should have an undergraduate level understanding of biology. For those who wish to attend the sessions on programmatic access, prior knowledge of coding/programming would be of benefit. For an introduction to the concept of web services and how you can use them to access the tools and data available programmatically, please watch this EMBL-EBI, programatically webinar.1
  • This course is aimed at both new and established investigators who lead a research team which currently uses bioinformatics, or where bioinformatics will be a component in future research. No prior knowledge of bioinformatics, or experience of analysis is required for this course. Applications are invited from investigators working in all settings, including academic, clinical, and industrial organisations.1
  • This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. A working knowledge of the Linux operating system and ability to use the command line or experience of using a programming language (e.g Python) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
  • This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
  • This course is aimed at individuals working across biological sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their skills and knowledge further. No previous knowledge of programming / coding is required for this course.1
  • This course is aimed at researchers who are generating, planning on generating, or working with single cell RNA sequencing data.  Prerequisites Participants will be using a Galaxy resource in-depth. Participants may also be asked to do brief coding in R. Please ensure that you complete the free tutorials before you attend the course: Introduction to Galaxy: https://galaxyproject.org/tutorials/g101/ Basic R concept tutorials: www.r-tutor.com/r-introduction There are other tutorials here, although they are not required: https://galaxyproject.org/learn/1
  • This course is aimed at researchers who are new to the field of metabolomics and wish to learn about the process of developing a metabolomics study. Attendees will gain an understanding of the workflow process and some of the analysis techniques and so should benefit those who are planning to include metabolite profiling in their work, either moving into the field or as an addition to other omics. We will primarily focus on a basic introduction to metabolomics with a worked example using a predesigned LC-MS analysis workflow. The course assumes little prior knowledge of using bioinformatics tools.1
  • This course is aimed at wet-lab researchers within Latin America (excluding Chile and Uruguay due to funding restrictions) who are working with and/or generating their own crop genomic data or who are working on genotyping technologies, including data analysis software development.  Researchers who apply for CABANA courses should have projects in one or more of the CABANA challenge areas (sustainable crop production, communicable diseases, protection of biodiversity). Please note this course will be taught in English, however some trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage. Prerequisites: basic computational or previous bioinformatics experience is required for this workshop, such as basic commands in R. Undergraduate-level knowledge of plant biology would be an advantage. Please note: The course will use genomic data from crop plant species throughout the week. It will not explore in detail methods for assembling genomes.1
  • This workshop is aimed at anyone interested in finding out more about protein biology. No prior experience of bioinformatics is required, but an undergraduate level understanding of biology would be of benefit.1
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• • Node
  • EMBL-EBI13
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• • Instructor
  • Alexandra Holinski
  • Janick Mathys143
  • Bruna Piereck72
  • Alexander Botzki67
  • Wandrille Duchemin57
  • True Colours48
  • Christof De Bo45
  • Matheus Lourenço42
  • Benjamin Pavie38
  • Elien Vandermarliere34
  • Lieve Ongena34
  • Geert van Geest33
  • Aleena Mushtaq29
  • Robin Engler29
  • René Custers23
  • Amanda Gonçalves19
  • Benjamin Moore18
  • Gert Van Isterdael18
  • Joris De Wolf18
  • Niels Vandamme18
  • Agnes Uhereczky17
  • David Armstrong17
  • Liesbeth De Milde17
  • Michal Szpak17
  • Nancy George17
  • Robin Lefebvre17
  • Deepak Tanwar16
  • Lucia Smit16
  • Birgit Meldal15
  • James Collier14
  • Kobe Lavaerts14
  • Sarah Morgan14
  • Tom Hancocks14
  • Wendi Bacon14
  • Baron Koylass13
  • Emily Perry13
  • Sebastian Munck13
  • Anna Swan12
  • Dayane Rodrigues Araujo12
  • Sam Holt12
  • Tania Wyss Lozano12
  • Tatiana Woller12
  • David Wishart11
  • Kalpana Panneerselvam11
  • Lee Larcombe11
  • Nicolas Vannieuwkerke11
  • Ricard Argelaguet11
  • Alex Bateman10
  • Alexandre Bonvin10
  • Barbara Baert10
  • Gustavo Ruiz Buendia10
  • Krishna Kumar Tiwari10
  • Lorna Richardson10
  • Malachi Griffith10
  • Niels Geudens10
  • Rossana Zaru10
  • Veronique Voisin10
  • An Staes9
  • Bob Asselbergh9
  • Frédéric Burdet9
  • Gary Bader9
  • Jolan Heyse9
  • Lennart Martens9
  • Lieven Clement9
  • Louisse Paola Mirabueno9
  • Mathieu Bourgey9
  • Obi Griffith9
  • Osman Salih9
  • Rahuman Sheriff9
  • Silvie Fexova9
  • Tallulah Andrews9
  • Thawfeek Mohamed Varusai9
  • Thuong Van Du Tran9
  • Typhaine Paysan-Lafosse9
  • Ajay Mishra8
  • Alexey Larionov8
  • Andrew Hercules8
  • Bart Mesuere8
  • Ben Verhoeven8
  • Cath Brooksbank8
  • Eliot Ragueneau8
  • Fabio Madeira8
  • Frank Vernaillen8
  • Geert Vermaerke8
  • Hema Bye-A-Jee8
  • Jared Simpson8
  • Jean-luc Doumont8
  • Koen Van den Eeckhout8
  • Nicolas Peredo8
  • Pavankumar Videm8
  • Rachel Marcone8
  • Tania Wyss8
  • Trevor Pugh8
  • Alyona Ivanova7
  • Arne Defauw7
  • Bart Ghesquière7
  • Emily Bowler-Barnett7
  • Engy Nasr7
  • Evelien Van Hamme7
  • Gerard Kleywegt7
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