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Content provider
- European Bioinformatics Institute (EBI)10
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Keyword
- IntAct Molecular Interaction Database3
- Data management2
- Proteins (proteins)2
- Reactome pathways database2
- AlphaFold Database1
- BioModels database1
- Biocuration1
- Biocurators1
- Complex Portal1
- Data handling1
- ELIXIR Converge1
- Electron Microscopy Public Image Archive - EMPIAR1
- Genetic variation1
- HMMER - protein homology search1
- InterPro1
- Logic modelling1
- Mass spectrometry1
- Modelling1
- PRIDE: The Proteomics Identifications Database1
- Pathway enrichment analysis1
- Pfam1
- Protein annotation1
- Protein classification1
- Protein function1
- Protein structures1
- Quantitative proteomics1
- Reactome Pathways Analysis1
- Spatial modelling1
- Systems (systems)1
- UniProt: The Universal Protein Resource1
- mass spectrometry1
- protein annotation1
- protein function1
- quantitative proteomics1
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Scientific topic
- Amino acid sequence3
- Amino acid sequences3
- Protein sequence3
- Protein sequences3
- 2D PAGE experiment2
- Biological model2
- Biological network analysis2
- Biological network modelling2
- Biological network prediction2
- Bottom-up proteomics2
- DIA2
- Data management2
- Data-independent acquisition2
- Discovery proteomics2
- MS2
- MS experiments2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Mass spectrometry2
- Mass spectrometry experiments2
- Mathematical model2
- Metadata management2
- Metaproteomics2
- Network analysis2
- Network comparison2
- Network modelling2
- Network prediction2
- Network simulation2
- Network topology simulation2
- Northern blot experiment2
- Peptide identification2
- Protein and peptide identification2
- Proteomics2
- Proteomics experiment2
- Quantitative proteomics2
- Research data management (RDM)2
- Spectrum demultiplexing2
- Targeted proteomics2
- Top-down proteomics2
- Biological modelling1
- Biological pathway analysis1
- Biological pathway modelling1
- Biological pathway prediction1
- Biological system modelling1
- Computational immunology1
- Data archival1
- Data archiving1
- Data curation1
- Data curation and archival1
- Data preservation1
- Data visualisation1
- Database curation1
- Dynamic systems1
- Dynamical systems1
- Dynymical systems theory1
- Functional pathway analysis1
- Gene and protein families1
- Gene families1
- Gene family1
- Gene system1
- Genes, gene family or system1
- Graph analytics1
- Immunoinformatics1
- Immunology1
- Kinetic model1
- Mathematics1
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- Monte Carlo methods1
- Multivariate analysis1
- Ontology1
- Pathway analysis1
- Pathway comparison1
- Pathway modelling1
- Pathway prediction1
- Pathway simulation1
- Plotting1
- Protein complex1
- Protein families1
- Protein sequence classification1
- Protein structure1
- Protein structures1
- Rendering1
- Research data archiving1
- Systems biology1
- Systems modelling1
- Visualisation1
- protein1
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Event type
- Workshops and courses10
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Country
- United Kingdom7
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Target audience
- The course is aimed at individuals working in immunology research who have minimal 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. Participants will require a basic knowledge of the Unix command line, and the R statistical package. We recommend these free tutorials: Introduction to the Unix environment – http://www.ee.surrey.ac.uk/Teaching/Unix/ Basic R concepts – http://www.r-tutor.com/r-introduction1
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantifying peptides, and finally to obtaining lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected.1
- The workshop is open to postdocs in Cambridge, including candidates from University and affiliated institutions1
- 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 life science researchers wanting to learn more about processing RNA-seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system, and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge, we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.1
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Instructor
- Krishna Kumar Tiwari
- Janick Mathys143
- Bruna Piereck72
- Alexander Botzki68
- Wandrille Duchemin57
- True Colours48
- Christof De Bo45
- Matheus Lourenço42
- Benjamin Pavie38
- Elien Vandermarliere34
- Lieve Ongena34
- Geert van Geest33
- Aleena Mushtaq29
- Robin Engler29
- René Custers23
- Agnes Uhereczky21
- Lucia Smit20
- Amanda Gonçalves19
- Benjamin Moore18
- Gert Van Isterdael18
- 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
- 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
- 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
- Evelien Van Hamme8
- 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
- Gerard Kleywegt7
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