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Content provider
- European Bioinformatics Institute (EBI)7
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Keyword
- IntAct Molecular Interaction Database3
- BioModels database2
- Cross domain (cross-domain)2
- Data analysis2
- Introduction to bioinformatics2
- Logic modelling2
- Pathway enrichment analysis2
- Reactome Pathways Analysis2
- Spatial modelling2
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- AlphaFold Database1
- Complex Portal1
- Electron Microscopy Public Image Archive - EMPIAR1
- HMMER - protein homology search1
- InterPro1
- Pfam1
- Protein classification1
- Proteins (proteins)1
- Reactome pathways database1
- UniProt: The Universal Protein Resource1
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Scientific topic
- Biological modelling4
- Biological system modelling4
- Systems biology4
- Systems modelling4
- Biological network analysis3
- Biological network modelling3
- Biological network prediction3
- Network analysis3
- Network comparison3
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- Bioinformatics2
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- Amino acid sequence1
- Amino acid sequences1
- Biological pathway analysis1
- Biological pathway modelling1
- Biological pathway or network format1
- Biological pathway prediction1
- Content management1
- DNA variation1
- Data management1
- Data rendering1
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- Database management1
- Document management1
- File management1
- Functional pathway analysis1
- Gene and protein families1
- Gene families1
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- Genes, gene family or system1
- Genetic variation1
- Genomic variation1
- Metadata management1
- MicroRNA sequencing1
- Mutation1
- Pathway analysis1
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- Polymorphism1
- Protein complex1
- Protein families1
- Protein sequence1
- Protein sequence classification1
- Protein sequences1
- Protein structure1
- Protein structures1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Record management1
- Research data management (RDM)1
- 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 courses7
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Country
- 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
- 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 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 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 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
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Instructor
- Alexandra Holinski
- Wandrille Duchemin32
- Janick Mathys31
- Aleena Mushtaq27
- Geert van Geest15
- Michal Szpak15
- Robin Engler15
- Benjamin Moore12
- Emily Perry12
- Tania Wyss Lozano12
- True Colours12
- Wendi Bacon11
- Gustavo Ruiz Buendia10
- Nancy George10
- Birgit Meldal9
- Kalpana Panneerselvam9
- Thuong Van Du Tran9
- Typhaine Paysan-Lafosse9
- Agnes Uhereczky8
- Anna Swan8
- David Armstrong8
- Dayane Rodrigues Araujo8
- Louisse Paola Mirabueno8
- Baron Koylass7
- Emily Bowler-Barnett7
- Alexandre Bonvin6
- Andrew Hercules6
- Bruna Piereck6
- David Wishart6
- Markus Müller6
- Nandana Madhusoodanan6
- Rahuman Sheriff6
- Rossana Zaru6
- Sam Holt6
- Sarah Morgan6
- Ugis Sarkans6
- Eliot Ragueneau5
- Gerard Kleywegt5
- Guillaume Bourque5
- James Collier5
- Lauren Erdman5
- Mathieu Bourgey5
- Melissa Davies5
- Osman Salih5
- Paul Denny5
- Pedro Raposo5
- Thawfeek Varusai5
- Tom Hancocks5
- William Hsiao5
- Ajay Mishra4
- Alex Bateman4
- Alexander Botzki4
- Alexey Larionov4
- Björn Grüning4
- Bérénice Batut4
- Daniela Brites4
- Deepak Tanwar4
- Dona Shaju4
- Elisabeth Gasteiger4
- Fabio Madeira4
- Finlay Maguire4
- Fiona Brinkman4
- Frédéric Bastian4
- James Stephenson4
- Jared Simpson4
- Johannes Griss4
- Jonathan Manning4
- Lee Larcombe4
- Lorna Richardson4
- Maira Ihsan4
- Marc Robinson-Rechavi4
- Matheus Lourenço4
- Nate Coraor4
- Patricia Carvajal Lopez4
- Philippe Le Mercier4
- Piv Gopalasingam4
- Rafael Riudavets Puig4
- Sara Rocio Chuguransky4
- Teresa Müller4
- Tobias Rausch4
- Varsha Kale4
- Veronique Voisin4
- Yvonne Lussi4
- Ahmed Hamid Awan3
- Alexey Sokolov3
- Amy LeBlanc3
- Andrew McArthur3
- Anna Syme3
- Anthony Bretaudeau3
- Antonin Thiebaut3
- Anup Kumar3
- Attilio Vittorio Vargiu3
- Aurelien Dugourd3
- Chris Quince3
- Christoph Stritt3
- Clea Siguret3
- Daniela Schneider3
- Dannon Baker3
- David Bujold3
- Deborah Harrus3
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