- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Keyword
- training15
- experimental biology6
- functional genomics6
- genes and genomes6
- next generation sequencing5
- Statistics4
- biochemistry4
- mauro delorenzi & frédéric schütz group4
- reproducibility4
- transcriptomics4
- Programming3
- R Programming3
- antibodies3
- biomarkers3
- high-performance computing3
- mass spectrometry3
- population genomics3
- proteins and proteomes3
- single-cell biology3
- structural biology3
- Bioinformatics2
- Coding2
- DNA-seq2
- Data Analysis2
- Data Science2
- Epigenomics2
- Immunology2
- Metabolism of Immune Cells2
- Proteins2
- R2
- Reproducibility2
- Single Cell Genomics2
- Single Cell technologies2
- basic research2
- bioinformatics2
- biostatistics2
- data management2
- data mining2
- data security2
- frédérique lisacek group2
- glycomics2
- mark ibberson group2
- microbiology2
- open data2
- protein interactions2
- proteomics2
- rémy bruggmann group2
- services and resources2
- targeted therapeutics2
- therapeutic antibodies2
- therapeutic application2
- diagnostics1
- #training1
- API1
- Applied NGS1
- Bayesian inference1
- Biology1
- Biopharmaceuticals1
- Biotherapeutics1
- Clinical Science1
- Computational Biology1
- Computational biology1
- DMP1
- DMP tools1
- Genome Mapping1
- Genome structure1
- Immunogenicity1
- Immunogenomics1
- Life Science1
- Machine Learning1
- Mass spectrometry data1
- Maximum likelihood inference1
- Metabolism of Cancer Cells1
- Metabolism of Cancer-Associated Fibroblasts1
- Metabolism of Endothelial Cells1
- Metabolomics1
- Nanobody1
- Nextflow1
- Omics1
- Phylogeny1
- Population genetics1
- Preclinical and clinical studies1
- Protein identification1
- Proteomics1
- R Studio1
- R language1
- RStudio1
- Reproducible Research1
- Research1
- Sequencing1
- Single cell RNAseq1
- Single cell sequencing 1
- Structural genomics1
- Synthetic biology1
- Systems biology1
- Transcriptomics1
- alan bridge group1
- amos bairoch & lydie lane group1
- analysis pipeline1
- antiviral immunity1
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics2
- Immunology2
- Antigens1
- Biomathematics1
- Bottom-up proteomics1
- Chromatin immunoprecipitation1
- Comparative modelling1
- Computational biology1
- Discovery proteomics1
- Docking1
- Epigenomics1
- Exome1
- Exome analysis1
- Exome capture1
- Exome sequencing1
- Genes1
- Genetics1
- Heredity1
- Homology modeling1
- Homology modelling1
- Immunopeptides1
- Immunoprecipitation experiment1
- Immunoproteins1
- Immunoproteins and antigens1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Mammals1
- Marine biology1
- Mathematical biology1
- Metaproteomics1
- Molecular docking1
- Molecular modelling1
- PTMs1
- Peptide identification1
- Phylogenetics1
- Post-translation modifications1
- Post-translational modifications1
- Protein and peptide identification1
- Protein chemical modifications1
- Protein design1
- Protein folding1
- Protein folding, stability and design1
- Protein interaction map1
- Protein interaction networks1
- Protein interactions1
- Protein interactome1
- Protein modifications1
- Protein post-translational modification1
- Protein post-translational modifications1
- Protein residue interactions1
- Protein stability1
- Protein-DNA interaction1
- Protein-DNA interactions1
- Protein-RNA interaction1
- Protein-RNA interactions1
- Protein-ligand interactions1
- Protein-nucleic acid interactions1
- Protein-protein interactions1
- Proteomics1
- Quantitative proteomics1
- Rational protein design1
- Targeted exome capture1
- Targeted proteomics1
- Theoretical biology1
- Therapeutic antibodies1
- Top-down proteomics1
- Translational medicine1
- WES1
- Whole exome sequencing1
- Show N_FILTERS more
-
-
-
Venue
- SIB336
- College Court2
- Music Center De Bijloke, 2, Jozef Kluyskensstraat2
- Bruxelles Environnement - Site de Tour & Taxis, Havenlaan 86C/3000, 1000 Brussel1
- CCMAR - Center of Marine Sciences1
- CIIMAR-Madeira - Interdisciplinary Centre of Marine and Environmental Research of Madeira1
- De Bijloke, Bijlokekaai 7, 7, Bijlokekaai1
- De Bijloke, Jozef Kluyskensstraat 2, 9000 Gent1
- Delivered online virtually, with face-to-face sessions on Teams.1
- Gent ICC1
- Iers college, 1, Janseniusstraat1
- KU Leuven Universiteitshal, 22, Naamsestraat1
- Kamenice 5 625 00 Brno-Bohunice Česko1
- Koningin Astridplein 20, 20, Koningin Astridplein1
- L69 7ZX1
- Naamsestraat 22, 3000 Leuven1
- Universiteit Gent - Aula, 9, Voldersstraat1
- University of Liverpool, Brownlow Hill1
- Show N_FILTERS more
-
-
-
City
- Lausanne91
- Basel48
- Streamed from Basel33
- Streamed from Lausanne31
- Bern23
- Streamed17
- Streamed from Geneva14
- Streamed from Bern11
- Zurich11
- Gent6
- Streamed from Basel and Lausanne6
- Streamed from Basel and Zurich5
- Streamed from Grenoble and Geneva4
- Streamed from Lausanne & Geneva4
- Streamed from Lausanne and Basel4
- Fribourg3
- Geneva3
- Leuven3
- Liverpool3
- Bern or Lausanne2
- Faro2
- Lausanne or streamed2
- Leicester2
- Streamed from Geneva, Grenoble, Lyon, Tokyo and Wa2
- Streamed from Sweden, Switzerland, Germany and UK2
- Antwerpen1
- Bern or streamed1
- Bienne/Biel1
- Blended - Streamed and videos1
- Brno1
- Brussels1
- Davos1
- Lausanne or Streamed1
- Leysin, Switzerland1
- Lyon1
- Schwarzenberg1
- Sempach1
- Streamed from Bern and Lausanne1
- Streamed from Dortmund1
- Streamed from Greece and Mauritius1
- Streamed from Lausanne and Barcelona1
- Streamed from Muttenz1
- Streamed from the University of Duisburg-Essen1
- Streamed or Lausanne1
- Streaming from Lausanne1
- Villars-sur-Ollon1
- Zurich or streamed1
- streamed from multiple locations1
- Show N_FILTERS more
-
-
-
Sponsor
- Genscript2
- Twist Bioscience2
- Abcam1
- BD1
- BioConnect1
- BioRad1
- Bioké1
- CCMAR1
- Covaris1
- Diagenode1
- Labcyte1
- Macs Miltenyi Biotec1
- Multiplicom1
- Perkin Elmer1
- PerkinElmer1
- SeqLL1
- Takara1
- ThermoFisher1
- To see all our sponsors please visit www.vibconferences.be1
- UALG1
- Westburg1
- Abnomx1
- Absolute Antibody1
- BioSPX1
- Bluebee1
- Cytiva1
- ELIXIR CZ1
- EMBO1
- Enantis1
- FWO1
- Fox Biosystems1
- Loschmidt Laboratories1
- Merck1
- PipeBio1
- Preclinics1
- Proteintech1
- Takara1
- XpressBiologics1
- Show N_FILTERS more
-
-
-
Target audience
- Academics
- Graduate students927
- Institutions and other external Institutions or individuals570
- Postdocs and Staff members from the University of Cambridge570
- PhD students446
- Industry355
- PhD353
- Researchers189
- Everyone is welcome to attend the courses98
- please review the policies.97
- Life Science Researchers64
- Biologists45
- as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.39
- Beginner37
- bioinformaticians37
- Master students32
- This course is included as part of several DTP and MPhil programmes30
- Students28
- PhD Students25
- Institutions and other external Institutions or individuals 24
- Postdocs and Staff members from the University of Cambridge24
- All postgraduates23
- <span style="color:#FF0000">After you have booked a place22
- Post Docs22
- if you are unable to attend any of the live sessions and would like to work in your own time22
- including for registered university students.<span style="color:#FF0000">22
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance22
- post-docs22
- This course is aimed at students and researchers of any background.21
- We assume no prior knowledge of what a HPC is or how to use it.21
- life scientists17
- Bioinformaticians16
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.16
- Professors16
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.16
- mixed audience16
- PhD candidates15
- PhD candidate14
- Technicians14
- PI13
- Bioinformaticians and wet-lab biologists who can program12
- Biologists, Genomicists, Computer Scientists12
- Graduate Students12
- This course is open to everyone who is interested. Have a look at our guidelines.12
- Existing R users who are not familiar with dplyr and ggplot211
- Postdoctoral Fellows11
- The course is aimed at biologists interested in microbiology11
- Those with programming experience in other languages that want to know what R can offer them11
- researchers11
- Molecular Biologists10
- Undergraduate students10
- Wet-lab researchers and bioinformaticians10
- data stewards10
- postdoctoral researchers10
- Beginners9
- Engineers9
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes9
- data managers9
- data steward / data manager9
- Biomedical researchers8
- Clinicians8
- Data managers8
- Data stewards8
- postdocs8
- software developers, bioinformaticians8
- 2025/26 Wellcome Sanger Institute student cohort and staff members7
- Anyone who is using sequencing as part of their work and/or research.7
- DMP writers7
- Life Scientists7
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.7
- Postdoctoral Researchers7
- Researcher in life sciences7
- Researchers who are applying or planning to apply image analysis in their research7
- Senior scientist/ Principal investigator7
- This course is aimed at researchers with no prior experience in phylogenetic analysis who would like an introduction to the foundations of building phylogenies from relatively small sequences (viral genomes and/or targeted regions of eukaryotic genomes).7
- This workshop is aimed at researchers interested in proteins7
- Trainers7
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.7
- network analysis7
- Anyone intersted in GWAS and using the H3Africa genotyping chip6
- Biologists and bioinformaticians6
- Clinical Scientists6
- Expert Support6
- Familiarity with mass spectrometry or proteomics in general is desirable6
- Masters students6
- Medical Device6
- Post-Docs6
- Postdoctoral researchers6
- Postgraduate students6
- Principal Investigators6
- Researcher6
- Scientists6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data.6
- Training Designers6
- but who have not perhaps put this into practice since.6
- prokaryotic genomics and antimicrobial resistance.6
- protein-protein interactions and related areas6
- Attendees of our training courses on specific applications (e.g. RNA-seq5
- Bioinformatician5
- Show N_FILTERS more
-
-
-
Language
- English17
- Show N_FILTERS more
-
-
-
Instructor
- Geert van Geest4
- Tania Wyss3
- Frédérique Lisacek2
- Rachel Jeitziner2
- Tania Wyss Lozano2
- Wandrille Duchemin2
- Amos Bairoch1
- Anne Morgat1
- Catherine Hayes1
- Elisabeth Gasteiger1
- Hans-Rudolf Hotz1
- Isabelle Dupanloup1
- Lucille Delisle1
- Marco Kreuzer1
- Marie-Claude Blatter1
- Markus Mueller1
- Rachel Marcone1
- Show N_FILTERS more
-
- Only show online events
- Show events from all spaces
- Hide past events
- Show disabled events
- Hide events with broken links