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Content provider
- Swiss Institute of Bioinformatics273
- ELIXIR Slovenia10
- ELIXIR Portugal7
- ELIXIR-SI eLearning Platform (EeLP)4
- Centre for Digital Life Norway3
- Galaxy Project3
- Birmingham Metabolomics Training Centre2
- Data Carpentry2
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- INB: Spanish National Bioinformatics Institute1
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- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- SIB Swiss Institute of Bioinformatics1
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Keyword
- training22
- EeLP16
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- Data management plan8
- bioinformatics8
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- DMP6
- experimental biology6
- functional genomics6
- genes and genomes6
- genomics5
- next generation sequencing5
- transcriptomics5
- Data analysis4
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- mauro delorenzi & frédéric schütz group4
- Assembly3
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- Training3
- biomarkers3
- biostatistics3
- machine learning3
- population genomics3
- proteins and proteomes3
- proteomics3
- reproducibility3
- single-cell biology3
- Bioinformatics2
- DMP tools2
- Data carpentry2
- GWAS2
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- HDRUK2
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- Nextflow2
- SoftwareCarpentry2
- assembly2
- basic research2
- data management2
- data mining2
- data publication2
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- frédérique lisacek group2
- genetic clustering2
- glycomics2
- high-performance computing2
- mass spectrometry2
- microbiology2
- open data2
- protein interactions2
- rémy bruggmann group2
- structural biology2
- RNA-Seq1
- #training1
- ATAC-seq1
- Ab initio models1
- Artificial Intelligence1
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- Bioconductor1
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- CWL1
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- Chemical biology1
- Chimera1
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- DMP evaluation1
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- DNA Methylation1
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- ELIXIR-CONVERGE1
- Epigenetics1
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- INTERREG1
- Identifiers1
- Imaging1
- Immunogenicity1
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Scientific topic
- Data management15
- Metadata management15
- Research data management (RDM)15
- Bioinformatics14
- Cloud computing11
- Computer science11
- HPC11
- High performance computing11
- High-performance computing11
- 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
- Sequencing4
- Targeted next-generation sequencing panels4
- Population genomics3
- Active learning2
- Bayesian methods2
- Biostatistics2
- Comparative modelling2
- Data archival2
- Data archiving2
- Data curation2
- Data curation and archival2
- Data preservation2
- Data privacy2
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- Database curation2
- Descriptive statistics2
- Docking2
- Ensembl learning2
- Exometabolomics2
- Gaussian processes2
- Homology modeling2
- Homology modelling2
- Inferential statistics2
- Kernel methods2
- Knowledge representation2
- LC-MS-based metabolomics2
- MS-based metabolomics2
- MS-based targeted metabolomics2
- MS-based untargeted metabolomics2
- Machine learning2
- Marine biology2
- Markov processes2
- Mass spectrometry-based metabolomics2
- Metabolites2
- Metabolome2
- Metabolomics2
- Metabonomics2
- MicroRNA sequencing2
- Molecular docking2
- Molecular modelling2
- Multivariate statistics2
- NMR-based metabolomics2
- Neural networks2
- Probabilistic graphical model2
- Probability2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Recommender system2
- Reinforcement learning2
- Research data archiving2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Statistics2
- Statistics and probability2
- Supervised learning2
- Transcriptome profiling2
- Unsupervised learning2
- WTSS2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- Aerobiology1
- Antigens1
- Behavioural biology1
- Biological modelling1
- Biological rhythms1
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Operation
- Data handling4
- File handling4
- File processing4
- Processing4
- Report handling4
- Utility operation4
- Data brokering3
- Data deposition3
- Data deposition brokering3
- Data submission3
- Database deposition3
- Database submission3
- Alternative splicing analysis1
- Alternative splicing detection1
- Alternative splicing prediction1
- Cartography1
- Differential splicing analysis1
- Mapping1
- Sequencing QC1
- Sequencing quality assessment1
- Sequencing quality control1
- Splice transcript prediction1
- Split read mapping1
- Split-read mapping1
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Venue
- SIB275
- Earlham Institute (EI), Colney Lane5
- University of Ljubljana, Faculty of Medicine5
- European Bioinformatics Institute (EMBL-EBI) - Training Room 12
- Institute of Organic Chemistry and Biochemistry AS CR, 2, Flemingovo náměstí2
- Belval Campus, Luxembourg (more detailed information on the venue will be send to registered participants before the workshop)1
- 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
- Gaustadalléen 23, 23, Gaustadalléen1
- ITQB NOVA, Avenida da República1
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande1
- 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
- Streamed1
- Technická 1903/3, 3, Technická1
- The Alan Turing Institute, 96, Euston Road1
- 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 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
- Lausanne70
- Basel38
- Streamed from Lausanne30
- Streamed from Basel28
- Bern20
- Streamed15
- Zurich10
- Streamed from Bern9
- Streamed from Geneva9
- Ljubljana7
- Streamed from Basel and Lausanne6
- Norwich5
- Streamed from Basel and Zurich4
- Streamed from Lausanne & Geneva4
- Streamed from Lausanne and Basel4
- Cambridge3
- Fribourg3
- Prague3
- Streamed from Grenoble and Geneva3
- Brno2
- Faro2
- Geneva2
- Gent2
- Leuven2
- Oeiras2
- Oslo2
- Streamed from Geneva, Grenoble, Lyon, Tokyo and Wa2
- Barcelona1
- Berlin1
- Bienne/Biel1
- Bled1
- Blended - Streamed and videos1
- Braga1
- Bystřice nad Pernštejnem1
- Davos1
- Esch-sur-Alzette1
- Lausanne or Streamed1
- Lausanne or streamed1
- Leipzig1
- Leysin, Switzerland1
- Lisboa1
- Liverpool1
- London1
- Lyon1
- Melbourne1
- Milan1
- Montferrier-sur-Lez (Montpellier area)1
- Prague 61
- Procida1
- Schwarzenberg1
- Sempach1
- 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
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Sponsor
- Centre for Digital Life Norway3
- RDA-Portugal3
- ELIXIR2
- ELIXIR EXCELERATE2
- CCMAR1
- UALG1
- Data & Software Carpentry1
- EASI-genomics1
- ELIXIR-CONVERGE1
- EMBO1
- Elixir Belgium1
- European Union1
- HPC Carpentry1
- 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 students765
- Postdocs and Staff members from the University of Cambridge489
- Institutions and other external Institutions or individuals486
- Academics288
- Industry288
- PhD280
- Plant research174
- Researchers74
- Biologists34
- Life Science Researchers32
- bioinformaticians32
- life scientists17
- post-docs16
- mixed audience15
- Master students14
- PhD 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
- Graduate Students12
- 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
- Existing R users who are not familiar with dplyr and ggplot211
- 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
- Biologists, Genomicists, Computer Scientists10
- Professors10
- All postgraduates9
- Bioinformaticians and wet-lab biologists who can program9
- PhD candidates9
- Wet-lab researchers and bioinformaticians 9
- Bioinformaticians8
- Undergraduate students8
- data stewards8
- postdoctoral researchers8
- PhD candidate7
- Researchers who are applying or planning to apply image analysis in their research7
- Technicians7
- data steward / data manager7
- Postgraduate students6
- 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
- Post Docs5
- Postdoctoral Researchers5
- Postdoctoral researchers5
- Senior scientist/ Principal investigator5
- 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
- postdocs5
- 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
- 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
- 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
- Bench biologists3
- Bioinformaticians and wet-lab biologists who can program in Python or R. 3
- Computational biologists3
- Core Facility Managers3
- Developers3
- Early Career Researcher3
- Evolutionary Biologists3
- Institutions and other external Institutions or individuals.3
- Intermediate3
- Masters students3
- 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
- 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
- This workshop is aimed at wet-lab scientists and bioinformaticians. Participants should have degree-level understanding of molecular biology/genetics and be proficient at using web browsers. 3
- Training Designers3
- Training instructors3
- basic research3
- bioinformatics and other life scientists planning to work with next-generation sequencing data.3
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