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Content provider
- Swiss Institute of Bioinformatics274
- ELIXIR Portugal10
- ELIXIR Slovenia10
- Centre for Digital Life Norway4
- ELIXIR-SI eLearning Platform (EeLP)4
- ELIXIR: The Czech Republic Node3
- Galaxy Project3
- SIB Swiss Institute of Bioinformatics3
- Birmingham Metabolomics Training Centre2
- Data Carpentry2
- ELIXIR Norway2
- European Bioinformatics Institute (EBI)2
- University of Leicester Bioinformatics and Biostatistics Analysis Support Hub (BBASH)2
- de.NBI2
- Barcelona Supercomputing Center (BSC)1
- ELIXIR1
- ELIXIR Luxembourg1
- EMBL-ABR1
- INB: Spanish National Bioinformatics Institute1
- Jalview1
- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- Software Carpentry1
- University of Cambridge Bioinformatics Training1
- VIB Conferences1
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Keyword
- EeLP16
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- Data management plan12
- training12
- bioinformatics10
- life sciences8
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- Data analysis5
- genomics5
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- Training3
- data management3
- open data3
- Bioinformatics2
- DMP tools2
- DNA-seq2
- Data carpentry2
- GWAS2
- Genetic Diversity2
- HDRUK2
- Immunology2
- Metabolomics2
- NGS bioinformatics2
- Nextflow2
- Python2
- SoftwareCarpentry2
- assembly2
- data publication2
- data sharing2
- genetic clustering2
- high-performance computing2
- machine learning2
- RNA-Seq1
- #training1
- API1
- ATAC-seq1
- Ab initio models1
- Artificial Intelligence1
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- Bioconductor1
- Bisulfite-Seq1
- CWL1
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- Chemical biology1
- Chimera1
- Cloud computing1
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- Compliance1
- Computational Biology1
- ComputationalBiology1
- DMP evaluation1
- DMP templates1
- DNA Methylation1
- Data Protection1
- Data management planning1
- Data processing1
- Data storage1
- Data transfer1
- Databases1
- Datastewardship1
- De Novo1
- ELIXIR-CONVERGE1
- Epigenetics1
- Evolutinary genomics1
- FAIR1
- FAIR principles1
- Galaxy1
- General Linear Models1
- Genome sequence analysis1
- Git1
- HPC1
- High-content imaging1
- Homology modelling1
- INTERREG1
- Identifiers1
- Imaging1
- Immunogenicity1
- Immunogenomics1
- Jalview1
- MSA1
- Marine Metagenomics1
- Maximum likelihood inference1
- Metabolism of Immune Cells1
- NGS1
- NeLS1
- Open science1
- Phenotypic screening1
- Phylogenetic trees1
- Phylogeny1
- Plotting data1
- Population genetics1
- Protein secondary structure1
- Reproducible Research1
- Sequence Analysis1
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Scientific topic
- Data management20
- Metadata management20
- Bioinformatics16
- Cloud computing12
- Computer science12
- HPC12
- High performance computing12
- High-performance computing12
- Exomes10
- Genome annotation10
- Genomes10
- Genomics10
- Personal genomics10
- Synthetic genomics10
- Viral genomics10
- Whole genomes10
- Biological sequences4
- Chromosome walking4
- Clone verification4
- DNA-Seq4
- DNase-Seq4
- High throughput sequencing4
- High-throughput sequencing4
- NGS4
- NGS data analysis4
- Next gen sequencing4
- Next generation sequencing4
- Panels4
- Primer walking4
- Sanger sequencing4
- Sequence analysis4
- Sequence databases4
- Sequences4
- Sequencing4
- Targeted next-generation sequencing panels4
- Bayesian methods3
- Biostatistics3
- Data privacy3
- Data security3
- Descriptive statistics3
- Gaussian processes3
- Inferential statistics3
- Markov processes3
- Multivariate statistics3
- Population genomics3
- Probabilistic graphical model3
- Probability3
- Statistics3
- Statistics and probability3
- Active learning2
- Comparative modelling2
- Data curation2
- Data provenance2
- Data submission, annotation, and curation2
- Database curation2
- Diffraction experiment2
- Docking2
- Ensembl learning2
- Exometabolomics2
- Homology modeling2
- Homology modelling2
- Imaging2
- Kernel methods2
- Knowledge representation2
- LC-MS-based metabolomics2
- MS-based metabolomics2
- MS-based targeted metabolomics2
- MS-based untargeted metabolomics2
- Machine learning2
- Marine biology2
- Mass spectrometry-based metabolomics2
- Metabolites2
- Metabolome2
- Metabolomics2
- Metabonomics2
- MicroRNA sequencing2
- Microscopy2
- Microscopy imaging2
- Molecular docking2
- Molecular modelling2
- NMR-based metabolomics2
- Neural networks2
- Optical super resolution microscopy2
- Photonic force microscopy2
- Photonic microscopy2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Recommender system2
- Reinforcement learning2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Supervised learning2
- Transcriptome profiling2
- Unsupervised learning2
- WTSS2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
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Operation
- Data handling6
- File handling6
- File processing6
- Processing6
- Report handling6
- Utility operation6
- Data deposition4
- Data submission4
- Database deposition4
- Database submission4
- Deposition4
- Submission4
- Alternative splicing analysis1
- Alternative splicing detection1
- Alternative splicing prediction1
- Cartography1
- Differential splicing analysis1
- Mapping1
- Mathematical modelling1
- Modelling and simulation1
- Sequencing QC1
- Sequencing quality assessment1
- Sequencing quality control1
- Splice transcript prediction1
- Split read mapping1
- Split-read mapping1
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Venue
- SIB276
- Earlham Institute (EI), Colney Lane5
- University of Ljubljana, Faculty of Medicine5
- College Court2
- European Bioinformatics Institute (EMBL-EBI) - Training Room 12
- Institute of Organic Chemistry and Biochemistry AS CR, 2, Flemingovo náměstí2
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande2
- Streamed2
- Belval Campus, Luxembourg (more detailed information on the venue will be send to registered participants before the workshop)1
- Bern1
- CCMAR - Center of Marine Sciences1
- CIIMAR-Madeira - Interdisciplinary Centre of Marine and Environmental Research of Madeira1
- Cirad, 389, Avenue Agropolis1
- De Bijloke, Bijlokekaai 7, 7, Bijlokekaai1
- Europaplein 2, 2, Europaplein1
- Gaustadalléen 23, 23, Gaustadalléen1
- ITQB NOVA, Avenida da República1
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
- Institutt for pedagogikk og lærerutdanning (Faculty of Humanities), Teorifagbygget-Hus 11
- KU Leuven Universiteitshal, 22, Naamsestraat1
- Kamenice 5, 5, Kamenice1
- La Pedrera, 92, Passeig de Gràcia1
- Leuven1
- MSTC, Sherrington Building, University of Liverpool1
- Melbourne1
- Music Center De Bijloke, 2, Jozef Kluyskensstraat1
- Ole-Johan Dahls hus, 23B, Gaustadalléen1
- Online via Zoom1
- PC-COLLEGE Berlin, 78, Stresemannstraße1
- Postdoc Centre, 16, Mill Lane1
- Rikli Balance Hotel, Cankarjeva cesta 4, SI-4260 Bled, Slovenia1
- Skalský Court Hotel, Lísek1
- Technická 1903/3, 3, Technická1
- The Alan Turing Institute, 96, Euston Road1
- Thákurova 550/1, 1, Thákurova1
- Universitetstunet1
- University Campus Bohunice, Masaryk University, Brno, Czech Republic1
- University of Cambridge, Trinity Ln1
- University of Ljubljana, Faculty of Medicine, Institute for Biostatistics and Medical Informatics, Vrazov Trg 2, SI-1000, Ljubljana, Slovenia1
- University of Ljubljana, Faculty of Medicine, Vrazov trg 2, SI-1000 Ljubljana, Slovenia1
- University of Melbourne1
- University of Milano-Bicocca, Building U7, Lab 7151
- University of Minho - Campus of Gualtar, Rua da Universidade1
- Università degli Studi di Padova - Casa della Gioventù, Via Rio Bianco,121
- Via Principessa Margherita, 461
- Vila Lanna, V Sadech 11
- Virtual (Slack)1
- iad Pc-Pool1
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City
- Lausanne68
- Basel38
- Streamed from Lausanne30
- Streamed from Basel29
- Bern19
- Streamed from Geneva12
- Zurich11
- Streamed from Bern10
- Streamed8
- Ljubljana7
- Streamed from Basel and Lausanne6
- Norwich5
- Prague4
- Streamed from Basel and Zurich4
- Streamed from Grenoble and Geneva4
- Streamed from Lausanne & Geneva4
- Streamed from Lausanne and Basel4
- Cambridge3
- Fribourg3
- Lausanne or streamed3
- Oeiras3
- Brno2
- Faro2
- Geneva2
- Gent2
- Leicester2
- Leuven2
- Melbourne2
- Oslo2
- Streamed from Geneva, Grenoble, Lyon, Tokyo and Wa2
- Amsterdam1
- Barcelona1
- Berlin1
- Bern or streamed1
- Bienne/Biel1
- Bled1
- Blended - Streamed and videos1
- Braga1
- Bystřice nad Pernštejnem1
- Davos1
- Esch-sur-Alzette1
- Lausanne or Streamed1
- Leipzig1
- Leysin, Switzerland1
- Lisboa1
- Liverpool1
- London1
- Lyon1
- Milan1
- Montferrier-sur-Lez (Montpellier area)1
- Prague 61
- Procida1
- Schwarzenberg1
- Sempach1
- Streamed from Bern and Lausanne1
- Streamed from Greece and Mauritius1
- Streamed from Lausanne and Barcelona1
- Streamed from Muttenz1
- Streamed from Sweden, Switzerland, Germany and UK1
- Streamed from the University of Duisburg-Essen1
- Streaming from Lausanne1
- Tromsø1
- Villars-sur-Ollon1
- Zurich or streamed1
- streamed from multiple locations1
- Ås1
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Organizer
- BioData.pt8
- Earlham Institute6
- ELIXIR Norway5
- ELIXIR Slovenia3
- ELIXIR Slovenia, ELIXIR Sweden, NBIS3
- Birmingham Metabolomics Training Centre2
- ELIXIR CZ, IOCB Prague2
- ELIXIR Slovenia, University of Ljubljana, Faculty of Medicine2
- EMBO2
- Patricia Palagi2
- University of Leicester BBASH2
- VIB2
- ecSeq Bioinformatics GmbH2
- Arctic University of Norway, ELIXIR Norway, ELIXIR Slovenia1
- CESNET1
- CHARME, ELIXIR Slovenia, NIB1
- CITIUS1
- Centro de Ciencias do Mar (CCMAR)1
- Cymon J. Cox, CCMAR1
- Daniele Parisi, Cedric Lood, Nikolina Šoštarić, Vera Van Noort1
- Department of Informatics and Chemistry, University of Chemistry and Technology & CZ-OPENSCREEN: National infrastructure of chemical biology1
- Dr Jim Procter and Dr Dan Rigden1
- ELIXIR Italy1
- ELIXIR PT, Instituto Gulbenkian1
- ELIXIR SI, University of Ljubljana, Faculty of Medicine1
- ELIXIR UiO node1
- ELIXIR-BE, ELIXIR-FR, ELIXIR-NO, ELIXIR-PT, ELIXIR-SE, ELIXIR-SI1
- ELIXIR-IT (L. Le Pera, V. Colonna, A. Via), Carpentries Italia1
- ENLIGHT-TEN1
- Elixir CZ, UCT Prague, Data Carpentry1
- Entrepeneurial Postdocs of Cambridge and ELIXIR-UK1
- FNUSA, ELIXIR CZ1
- Gabriella Rustici1
- Institute of Organic Chemistry and Biochemistry AS CR1
- Jozef Stefan Institute, Ljubljana, Slovenia1
- Juan Nunez-Iglesias, Melbourne Bioinformatics1
- Loschmidt Laboratories, Masaryk University1
- Luxembourg Centre for Systems Biomedicine1
- Master's in Bioinformatics - University of Bologna1
- Monash Bioinformatics Platform1
- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- Olivier Sand1
- Open Life Science1
- Pedro Fernandes1
- University of Cambridge / Alan Turing Institute1
- VIB Conferences1
- de.NBI1
- ecseq Bioinformatics GmbH1
- naveed.ishaque@bih-charite.de1
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Sponsor
- Centre for Digital Life Norway4
- RDA-Portugal4
- ELIXIR2
- ELIXIR EXCELERATE2
- CCMAR1
- UALG1
- Data & Software Carpentry1
- EASI-genomics1
- ELIXIR-CONVERGE1
- EMBO1
- Elixir Belgium1
- European Union1
- HPC Carpentry1
- INCF1
- INRA1
- INTERREG V-A Italy-Slovenia 2014-2020 project TRAIN1
- NBIS - National Bioinformatics Infrastructure Sweden1
- NORBIS1
- National Research Council of Italy1
- One Nucleus1
- Repositive1
- Takara1
- Twist Bioscience1
- University of Dundee1
- de.NBI1
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Target audience
- PhD students
- Graduate students768
- Postdocs and Staff members from the University of Cambridge489
- Institutions and other external Institutions or individuals486
- Academics293
- Industry291
- PhD283
- Plant research174
- Researchers78
- Life Science Researchers40
- Biologists35
- bioinformaticians35
- Master students18
- post-docs18
- life scientists17
- mixed audience15
- PhD Students14
- Graduate Students13
- 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.13
- 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.12
- Biologists, Genomicists, Computer Scientists11
- Existing R users who are not familiar with dplyr and ggplot211
- Professors11
- Technicians11
- This course is included as part of several DTP and MPhil programmes11
- Those with programming experience in other languages that want to know what R can offer them11
- All postgraduates9
- Bioinformaticians9
- Bioinformaticians and wet-lab biologists who can program9
- PhD candidates9
- Wet-lab researchers and bioinformaticians 9
- PhD candidate8
- Undergraduate students8
- data steward / data manager8
- data stewards8
- postdoctoral researchers8
- Researchers who are applying or planning to apply image analysis in their research7
- postdocs7
- Post Docs6
- Postgraduate students6
- Senior scientist/ Principal investigator6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- but who have not perhaps put this into practice since.6
- data managers6
- Clinicians5
- 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.5
- Life sciences5
- Postdoctoral Researchers5
- Postdoctoral researchers5
- The course is open to Graduate students5
- This course is aimed at students and researchers of any background.5
- Trainers5
- We assume no prior knowledge of what a HPC is or how to use it.5
- software developers, bioinformaticians5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R. 4
- Biomedical researchers4
- Clinical Scientists4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- Pathologists4
- Research presentation4
- Researchers who want to extract quantitative information from microscopy images4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- This workshop is aimed at researchers interested in proteins4
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- Wet-lab Researchers4
- beginner bioinformaticians4
- data manager4
- database managers4
- network analysis4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- protein-protein interactions and related areas4
- health professionals3
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Anyone who wants to become a teacher / trainer or a better one3
- Beginner3
- Beginners3
- Bench biologists3
- Bioinformaticians and wet-lab biologists who can program in Python or R. 3
- 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.3
- Computational biologists3
- Core Facility Managers3
- Developers3
- Early Career Researcher3
- Evolutionary Biologists3
- Institutions and other external Institutions or individuals.3
- Intermediate3
- Masters students3
- Medical Device3
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 3
- Post-Docs3
- Scientists3
- Students and researchers from life-sciences or biomedical backgrounds3
- The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasets3
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
- This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system. 3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- 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-RNA3
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