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- European Bioinformatics Institute (EBI)7
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- Workshops and courses7
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- 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 scientists working with bioimage data across the life sciences. It is suitable for those involved in creating bioimages or taking their first steps in analysis. The content would also be suitable for those wanting to learn more about the BioImage Archive and gain experience with machine learning approaches for image analysis. The programme will be of particular interest to bio-image analysts with questions relating to the use of ‘big data’ and using the wealth of publically available data curated in the BioImageArchive. The course should be accessible to members of the bioimaging community and does not require prior experience with machine learning methods or use of the BioImage Archive is necessary, but applicants are encouraged to explore the resources below before starting their application. Applicants should be comfortable with basic programming tasks and have experience working with Python. Prerequisite reading: Nature: BioImage Archive: A call for public archives for biological image data biorxiv: ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy Nucleic Acids Research: The BioStudies database—one stop shop for all data supporting a life sciences study Nature Methods: EMPIAR: a public archive for raw electron microscopy image data Nature: Image Data Resource: a bioimage data integration and publication platform BioModelZoo1
- This course is aimed at scientists working with biomage data across the life sciences. It is suitable for those involved in creating bioimages or taking their first steps in analysis. The content would also be suitable for those wanting to learn more about the BioImage Archive and gain experience with machine learning approaches for image analysis. The programme will be of particular interest to bioimage analysts with questions relating to the use of ‘big data’ and using the wealth of publically available data curated in the BioImage Archive. The course should be accessible to members of the bioimaging community and does not require prior experience with machine learning methods or use of the BioImage Archive. Applicants are encouraged to explore the resources below before starting their application. Applicants should be comfortable with basic programming tasks and have experience working with Python. Prerequisite reading: BioImage Archive: A call for public archives for biological image data ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy The BioStudies database - one stop shop for all data supporting a life sciences study EMPIAR: a public archive for raw electron microscopy image data Image Data Resource: a bioimage data integration and publication platform BioImage Model Zoo 1
- This course is intended for PhD students of Portuguese and international institutions (with a particular focus on students of the CIBIO-InBIO’s BIODIV, SUSFOR Doctoral Programs and University of Porto), but more experienced researchers that are initiating projects in the field of environmental metagenomics can also participate. Prerequisite knowledge No previous bioinformatics experience is required, but an undergraduate level understanding of biology would be an advantage.1
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Instructor
- Janick Mathys143
- Bruna Piereck72
- Alexander Botzki68
- Wandrille Duchemin57
- Matheus Lourenço48
- True Colours48
- Christof De Bo45
- Benjamin Pavie38
- Elien Vandermarliere34
- Lieve Ongena34
- Geert van Geest33
- Aleena Mushtaq29
- Robin Engler29
- René Custers23
- Agnes Uhereczky21
- Gert Van Isterdael20
- Lucia Smit20
- Amanda Gonçalves19
- Benjamin Moore18
- Joris De Wolf18
- Niels Vandamme18
- David Armstrong17
- Liesbeth De Milde17
- Michal Szpak17
- Nancy George17
- Robin Lefebvre17
- Deepak Tanwar16
- Birgit Meldal15
- James Collier14
- Kobe Lavaerts14
- Sarah Morgan14
- Tom Hancocks14
- Wendi Bacon14
- Alexandra Holinski13
- Barbara Baert13
- 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
- Gustavo Ruiz Buendia10
- Krishna Kumar Tiwari10
- Lorna Richardson10
- Malachi Griffith10
- Niels Geudens10
- Rossana Zaru10
- Veronique Voisin10
- An Staes9
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- Mathieu Bourgey9
- Obi Griffith9
- Osman Salih9
- Rahuman Sheriff9
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- Tallulah Andrews9
- Thawfeek Mohamed Varusai9
- Thuong Van Du Tran9
- Typhaine Paysan-Lafosse9
- Ajay Mishra8
- Alexey Larionov8
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- Bart Mesuere8
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- Trevor Pugh8
- Alyona Ivanova7
- Arne Defauw7
- Bart Ghesquière7
- Emily Bowler-Barnett7
- Engy Nasr7
- Gerard Kleywegt7
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