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Content provider
- ELIXIR Slovenia16
- Centre for Digital Life Norway6
- Barcelona Supercomputing Center (BSC)3
- ELIXIR Luxembourg3
- INB: Spanish National Bioinformatics Institute3
- NBIS3
- University of Cambridge Bioinformatics Training3
- ELIXIR Portugal2
- ELIXIR-SI eLearning Platform (EeLP)2
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- Software Carpentry2
- Data Carpentry1
- ELIXIR1
- ELIXIR Norway1
- European Bioinformatics Institute (EBI)1
- Galaxy Project1
- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- UCL Engineering1
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Keyword
- EeLP20
- eLearning20
- DMP14
- data management11
- training11
- metadata10
- data publication9
- life sciences9
- Data management plan8
- storage8
- FAIR7
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- data life cycle - analyse5
- data life cycle - plan5
- data life cycle - preserve5
- data life cycle - process5
- data life cycle - share5
- genomics5
- DMP tools4
- FAIR principles4
- Git4
- RDM4
- data FAIRness4
- data life cycle - collect4
- data life cycle - reuse4
- data management plan4
- sensitive4
- tools4
- Assembly3
- DMP evaluation3
- DMP templates3
- Data analysis3
- ELIXIR-CONVERGE3
- Training3
- Unix/Linux3
- competency3
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- e-learning3
- evaluation3
- on-line3
- research data management3
- template3
- ATAC-seq2
- Artificial Intelligence2
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- Command line2
- Data management planning2
- Data storage2
- FAIR data2
- Precision Medicine2
- Python2
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- Software Carpentry2
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- assembly2
- biomedical applications2
- data quality2
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- high-performance computing2
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- spreadsheet2
- DSW1
- RNA-Seq1
- AI1
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- Bioconductor1
- Biomarker Conference1
- Biomarker Conference 20171
- Biomarkers Conference 20171
- Biomarkers Conferences1
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- Biopharmaceuticals1
- Chemical biology1
- Clinical Bioinformatics1
- ClinicalPharmacology1
- Computational Biology1
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- Data carpentry1
- Data handling1
- Data managment plan1
- Data publishing1
- Data skills1
- Data transfer1
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- Ethics1
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Scientific topic
- Data management13
- Exomes13
- Genome annotation13
- Genomes13
- Genomics13
- Metadata management13
- Personal genomics13
- Synthetic genomics13
- Viral genomics13
- Whole genomes13
- Bioinformatics11
- Cloud computing11
- Computer science11
- FAIR data11
- Findable, accessible, interoperable, reusable data11
- HPC11
- High performance computing11
- High-performance computing11
- Data curation4
- Data provenance4
- Data submission, annotation, and curation4
- Database curation4
- Biomathematics3
- Computational biology3
- Data clean-up3
- Data cleaning3
- Data integrity3
- Data quality3
- Data quality management3
- Mathematical biology3
- Theoretical biology3
- Active learning2
- Biomedical science2
- Biomedical sciences2
- Chemical informatics2
- Cheminformatics2
- Chemoinformatics2
- Comparative transcriptomics2
- Ensembl learning2
- Health science2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Transcriptome2
- Transcriptomics2
- Unsupervised learning2
- Bayesian methods1
- Biological modelling1
- Biological processes1
- Biological sequences1
- Biological system modelling1
- Biomarkers1
- Biome sequencing1
- Biostatistics1
- Bottom-up proteomics1
- Chromosome walking1
- Clone verification1
- Comparative genomics1
- Computational chemistry1
- DNA-Seq1
- DNase-Seq1
- Data governance1
- Data integration1
- Data integration and warehousing1
- Data rendering1
- Data stewardship1
- Data visualisation1
- Data warehousing1
- Descriptive statistics1
- Diagnostic markers1
- Diffraction experiment1
- Discovery proteomics1
- Drug discovery1
- Evolution1
- Evolutionary biology1
- Gaussian processes1
- High throughput sequencing1
- High-throughput sequencing1
- Imaging1
- Inferential statistics1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Marine biology1
- Markov processes1
- Metagenomics1
- Metaproteomics1
- Microscopy1
- Microscopy imaging1
- Molecular biology1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- Next gen sequencing1
- Next generation sequencing1
- Omics1
- Optical super resolution microscopy1
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Operation
- Data deposition9
- Data handling9
- Data submission9
- Database deposition9
- Database submission9
- Deposition9
- File handling9
- File processing9
- Processing9
- Report handling9
- Submission9
- Utility operation9
- File format conversion3
- File formatting3
- File reformatting3
- Format conversion3
- Formatting3
- Reformatting3
- File format validation2
- Filtering2
- Format validation2
- Sequence filtering2
- rRNA filtering2
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Venue
- University of Ljubljana, Faculty of Medicine5
- Online3
- Auditorium 1019, Narva mnt 18 (UT Delta Centre)2
- Auditorium 2005 (the Linux classroom), Narva mnt 18 (UT Delta Centre)2
- Institute of Organic Chemistry and Biochemistry AS CR, 2, Flemingovo náměstí2
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande2
- Leuven2
- Online via Zoom2
- University of Cambridge, Trinity Ln2
- Uppsala University, SciLifeLab, BMC, Husargatan 3, Uppsala2
- Bergen1
- Branišovská 1160/31, 31, Branišovská1
- Centro Nacional de Investigaciones Oncológicas, 3, Calle de Melchor Fernández Almagro1
- Cirad, 389, Avenue Agropolis1
- Earlham Institute (EI), Colney Lane1
- Escuela Técnica Superior de Ingeniería Informática, 35, Bulevar Louis Pasteur1
- European Bioinformatics Institute (EMBL-EBI) - Training Room 11
- Facultad de Medicina de la Universidad de Granada, 11, Avenida de la Investigación1
- Faculty of Law, University of Ljubljana, Poljanski nasip 21
- Faro1
- Gaustadalléen 23, 23, Gaustadalléen1
- Hilton Atlanta Airport, 1031, Virginia Avenue1
- Histology Seminar Room (ground floor), Semmelweis University, 1st Department of Pathology and Experimental Cancer Research, H-1085 Budapest, Üllői út 26.1
- Hotel Berlin Berlin, 17, Lützowplatz1
- Institutt for pedagogikk og lærerutdanning (Faculty of Humanities), Teorifagbygget-Hus 11
- La Pedrera, 92, Passeig de Gràcia1
- Luxembourg Learning Centre University of Luxembourg1
- Melbourne1
- Naturalis Biodiversity Center and Level Leiden1
- Postdoc Centre, 16, Mill Lane1
- R. Q.ta Grande 6, 6, Rua Quinta Grande1
- Rikli Balance Hotel, Cankarjeva cesta 4, SI-4260 Bled, Slovenia1
- Skalský Court Hotel, Lísek1
- Universitetstunet1
- University of Milano Bicocca1
- University of Milano-Bicocca, Building U7, Lab 7151
- University of Tromsø1
- Vila Lanna, V Sadech 11
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City
- Ljubljana6
- Tartu4
- Cambridge3
- Oeiras3
- Prague3
- Leuven2
- Tromsø2
- Uppsala2
- Atlanta1
- Barcelona1
- Bergen1
- Berlin1
- Bled1
- Budapest1
- Bystřice nad Pernštejnem1
- Diepenbeek1
- Esch-sur-Alzette1
- Faro1
- Granada1
- Leiden1
- Madrid1
- Melbourne1
- Milan1
- Montferrier-sur-Lez (Montpellier area)1
- Málaga1
- Norwich1
- Oslo1
- Ås1
- České Budějovice1
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Organizer
- ELIXIR Estonia9
- ELIXIR Norway8
- ELIXIR Slovenia, ELIXIR Sweden, NBIS3
- CITIUS2
- ELIXIR CZ, IOCB Prague2
- ELIXIR Slovenia2
- Earlham Institute2
- NBIS2
- Allied Academies1
- Arctic University of Norway, ELIXIR Norway, ELIXIR Slovenia1
- CCMAR / BioData.pt1
- CHARME, ELIXIR Slovenia, NIB1
- CSUC / CERCA1
- Carpentries Italia, ELIXIR-IT1
- 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
- ELIXIR Germany and Beacon community1
- ELIXIR Italy1
- ELIXIR PT, Instituto Gulbenkian1
- ELIXIR SI, University of Ljubljana, Faculty of Medicine1
- ELIXIR-BE, ELIXIR-FR, ELIXIR-NO, ELIXIR-PT, ELIXIR-SE, ELIXIR-SI1
- Elixir-Luxembourg1
- Emma Lazzeri, Loredana Le Pera, Ivan Miçetic, Gina Pavone, Allegra Via1
- Endre Sebestyén1
- Entrepeneurial Postdocs of Cambridge and ELIXIR-UK1
- Escuela Técnica Superior de Ingeniería Informática1
- FDO Forum1
- Galaxy Community and ELIXIR1
- INB/ELIXIR-ES and CNIO1
- IOCB Prague, University of Ljubljana, Faculty of Medicine, ELIXIR-FI1
- Institute of Organic Chemistry and Biochemistry AS CR1
- Institute of Plant Molecular Biology, České Budějovice, Czech Republic1
- Instituto Gulbenkian, ELIXIR Portugal, GOBLET1
- Jozef Stefan Institute, Ljubljana, Slovenia1
- Luxembourg Centre for Systems Biomedicine1
- Master's in Bioinformatics - University of Bologna1
- Monash Bioinformatics Platform1
- NBIS, SciLifeLab1
- NBIS, SciLifeLab Data Centre1
- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- Olivier Sand1
- PRACE1
- Pedro Fernandes1
- Rita Castilho, Center for Marine Sciences1
- Software Carpentry1
- UCL Science and Technology Studies1
- University of Cambridge1
- University of Granada, Fundación Progreso y Salud (FPS) and the Spanish National Bioinformatics Institute (INB/ELIXIR-ES)1
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Sponsor
- Centre for Digital Life Norway6
- ELIXIR Converge4
- ELIXIR-CONVERGE2
- BioData.pt1
- CSUC1
- ELIXIR1
- ELIXIR EXCELERATE1
- ELIXIR Norway1
- ELIXIR: The Czech Republic Node1
- EXCELERATE1
- Elixir Belgium1
- Euromarine1
- European Union1
- FDO Forum1
- INB/ELIXIR-ES1
- INRA1
- INTERREG V-A Italy-Slovenia 2014-2020 project TRAIN1
- ISCIII1
- NBIS - National Bioinformatics Infrastructure Sweden1
- NORBIS1
- National Research Council of Italy1
- Oeiras Valley1
- Omixon Biocomputing Ltd1
- One Nucleus1
- Repositive1
- Semmelweis University1
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Target audience
- Researchers
- Graduate students768
- Postdocs and Staff members from the University of Cambridge489
- Institutions and other external Institutions or individuals486
- PhD students359
- Academics293
- Industry291
- PhD283
- Plant research174
- 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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