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• • Content provider
  • SIB Swiss Institute of Bioinformatics47
  • VIB Conferences4
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• • Keyword
  • Epigenomics2
  • diagnostics1
  • Applied NGS1
  • Bayesian inference1
  • Biopharmaceuticals1
  • Biotherapeutics1
  • DNA-seq1
  • Data Analysis1
  • Genome Mapping1
  • Genome structure1
  • Mass spectrometry data1
  • Maximum likelihood inference1
  • Metabolism of Cancer Cells1
  • Metabolism of Cancer-Associated Fibroblasts1
  • Metabolism of Endothelial Cells1
  • Metabolism of Immune Cells1
  • Metabolomics1
  • Phylogeny1
  • Population genetics1
  • Preclinical and clinical studies1
  • Proteins1
  • Proteomics1
  • Sequencing1
  • Single Cell Genomics1
  • Structural genomics1
  • Systems biology1
  • Transcriptomics1
  • antiviral immunity1
  • biobetters1
  • bioinformatics1
  • biomolecular1
  • biopharma1
  • biopharmaceutical technology1
  • cellular signaling1
  • clinical sequencing1
  • diagnostic tools1
  • diagnostics & biomarkers1
  • drug discovery1
  • marine mammals1
  • mass spectrometry1
  • medical biomarkers 1
  • medical biotechnolgy1
  • molecular evolution1
  • molecular modelling1
  • next-generation biologics1
  • personalized medicine1
  • phylogenomics1
  • targeted delivery1
  • targeted therapeutics1
  • therapeutic antibodies1
  • therapeutic application1
  • vaccine development1
  • vaccines1
  • viral growth and purification1
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• • Scientific topic
  • Comparative modelling1
  • Docking1
  • Epigenomics1
  • Homology modeling1
  • Homology modelling1
  • Mammals1
  • Marine biology1
  • Molecular docking1
  • Molecular modelling1
  • Phylogenetics1
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• • Event type
  • Workshops and courses49
  • Meetings and conferences4
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• • Venue
  • SIB47
  • CCMAR - Center of Marine Sciences1
  • CIIMAR-Madeira - Interdisciplinary Centre of Marine and Environmental Research of Madeira1
  • Iers college, 1, Janseniusstraat1
  • Koningin Astridplein 20, 20, Koningin Astridplein1
  • Naamsestraat 22, 3000 Leuven1
  • Universiteit Gent - Aula, 9, Voldersstraat1
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• • City
  • Lausanne23
  • Basel12
  • Bern8
  • Faro2
  • Leuven2
  • Antwerpen1
  • Bienne/Biel1
  • Geneva1
  • Gent1
  • Villars-sur-Ollon1
  • Zurich1
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• • Country
  • Switzerland47
  • Belgium4
  • Portugal2
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• • Sponsor
  • BD1
  • Bioké1
  • CCMAR1
  • Covaris1
  • Diagenode1
  • Labcyte1
  • Multiplicom1
  • Perkin Elmer1
  • SeqLL1
  • Takara1
  • To see all our sponsors please visit www.vibconferences.be1
  • UALG1
  • Westburg1
  • Bluebee1
  • EMBO1
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• • Target audience
  • Academics
  • Graduate students321
  • Institutions and other external Institutions or individuals273
  • Postdocs and Staff members from the University of Cambridge273
  • PhD students58
  • Industry52
  • PhD50
  • Researchers12
  • Existing R users who are not familiar with dplyr and ggplot28
  • Those with programming experience in other languages that want to know what R can offer them8
  • Researchers who are applying or planning to apply image analysis in their research6
  • bioinformaticians6
  • Life Science Researchers5
  • The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics5
  • but who have not perhaps put this into practice since.5
  • Anyone intersted in GWAS and using the H3Africa genotyping chip4
  • Bioinformaticians4
  • Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
  • Postdoctoral Researchers4
  • Biologists3
  • PhD Students3
  • Researchers who want to extract quantitative information from microscopy images3
  • The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
  • This course is aimed at researchers with an interest in metabolomics and its applications3
  • This introductory course is aimed at biologists with little or no experience in machine learning.3
  • This workshop is aimed at researchers who need to undertake sequence searching as part of their work3
  • This workshop is aimed at students on the Rare Diseases and Experimental Medicine MPhil courses at the University of Cambridge. Students from the wider clinical sciences group are also able to attend subject to space being available.3
  • Wet-lab Researchers3
  • Anyone wanting to use OMERO to organize2
  • Anyone who wants to become a teacher / trainer or a better one2
  • Bioinformaticians and wet-lab biologists who can program2
  • Biological sciences research students and postdocs who may want to use HPC in their research. Please note that Biochemistry first year graduate students book this course via their Moodle site not here.2
  • Biologists, Genomicists, Computer Scientists2
  • Core Facility Managers2
  • Facility Managers wanting to train users2
  • Graduate Students2
  • PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 2
  • PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.2
  • Principal Investigators2
  • Professors2
  • This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA2
  • This workshop is aimed at researchers who are looking for an overview of the bioinformatics resources provided by EMBL-EBI2
  • This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of molecules2
  • This workshop is aimed at researchers who want to learn more about the UniProt resources2
  • This workshop is aimed at researchers who wish to understand why data standards are important and how they can be used in practice2
  • This workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.2
  • This workshop is aimed at those who want to explore genetic variation data.2
  • annotate and publish imaging data2
  • or who need to search against several biological datasets to gain knowledge of a gene/gene set2
  • postdocs2
  • postdoctoral researchers2
  • protein-DNA and protein-small molecular interactions.2
  • view2
  • R&D engineers1
  • All Audiences1
  • All postgraduates1
  • Any students, postdocs or RAs with an interest in HPC1
  • Anybody interested in using Jupyter and OMERO1
  • Anyone who wants to learn more about GWAS1
  • Beginners1
  • Beginners who have very little background in using the command line and are enthusiastic to learn more1
  • Bench biologists1
  • Bioinformaticians and wet-lab biologists1
  • Bioinformaticians and wet-lab biologists who can program in Perl.1
  • Bioinformatics beginners 1
  • Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.1
  • Biomedical researchers1
  • Boinformaticians1
  • Bussiness Professionals1
  • Clinical Scientists1
  • Cloud users1
  • Computational biologists1
  • Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.1
  • Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.1
  • DevOps in any field1
  • Developers1
  • Experimental Researchers1
  • Experts1
  • Facility Managers using or1
  • Galaxy users1
  • HPC users1
  • Individual Course fees are required only from external participants not from Institutions1
  • Institutions and other external Institutions1
  • Intermediate1
  • Life scientists with programming skills1
  • Master students1
  • OMERO for image data management1
  • Participants are expected to be familiar with Linux and scripting1
  • PhD and graduate students, young researchers and PIs in the life science and computational biology field1
  • PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
  • PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
  • PhD's1
  • Post Docs1
  • Post-Docs1
  • Post-docs1
  • Postdocs and Staff members from all other external Institutions1
  • Postdocs and Staff members from the University of Cambridge and Institutions1
  • Postdoctoral students1
  • Principal Investigators from the University of Cambridge1
  • Professionals involved in personalized molecular oncology, including laboratory managers, biologists, bioinformaticians, pathologists, geneticists, clinicians and pharmaceutical company employees.1
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• • Eligibility
  • First come first served4
  • By invitation1
  • Registration of interest1
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• • Node
  • Switzerland47
  • Belgium4
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