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Keyword
- training79
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Scientific topic
- Bioinformatics76
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- Data archival21
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- Protein bioinformatics21
- Protein databases21
- Protein informatics21
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- Proteins21
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- Software integration21
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- FAIR data19
- Findable, accessible, interoperable, reusable data19
- Molecular diagnostics19
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- Microbiome18
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- Protein structures18
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- Active learning17
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- Microbial physiology17
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- Comparative transcriptomics15
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- Mutation15
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- Transcriptome15
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- Exometabolomics14
- LC-MS-based metabolomics14
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- Metabolites14
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- NMR-based metabolomics14
- Metagenomics13
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- Cloud computing12
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- High-performance computing12
- High-throughput sequencing12
- MicroRNA sequencing12
- Omics12
- RNA sequencing12
- RNA-Seq12
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Operation
- Data handling25
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- File processing25
- Processing25
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- Data brokering15
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- Data deposition brokering15
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- Data analysis7
- Data visualisation3
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- Allele calling2
- Data formatting2
- Data management planning2
- Data reformatting2
- Docking simulation2
- Exome variant detection2
- File format conversion2
- File formatting2
- File reformatting2
- Format conversion2
- Genome variant detection2
- Germ line variant calling2
- Macromolecular docking2
- Molecular docking2
- Molecular surface analysis2
- Mutation detection2
- Somatic variant calling2
- Structure database search2
- Variant calling2
- Variant mapping2
- de novo mutation detection2
- Biological pathway analysis1
- Biological pathway modelling1
- Biological pathway prediction1
- Data extraction1
- Data filtering1
- Data retrieval1
- Data retrieval (metadata)1
- Expectation maximisation1
- File format validation1
- Format validation1
- Functional clustering1
- Functional pathway analysis1
- Functional sequence clustering1
- Gibbs sampling1
- Hypothesis testing1
- Metadata retrieval1
- Molecular dynamics1
- Molecular dynamics simulation1
- Omnibus test1
- Optimisation and refinement1
- Pathway analysis1
- Pathway comparison1
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- Protein dynamics1
- Protein secondary structure visualisation1
- RNA secondary structure visualisation1
- Retrieval1
- Sequence filtering1
- Significance testing1
- Statistical analysis1
- Statistical calculation1
- Statistical test1
- Statistical testing1
- Structure analysis1
- Structure rendering1
- Structure visualisation1
- rRNA filtering1
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Tool
- Data Stewardship Wizard9
- RDMkit4
- AutoDock Vina3
- European Nucleotide Archive (ENA)3
- Ontology Lookup Service3
- SPCI3
- AlphaFold 22
- Gromacs2
- PyMOL2
- ANASTASIA1
- BioSamples1
- BioTranslator1
- ChEMBL1
- DECIPHER1
- EGA1
- Ensembl1
- FAIRDOM-SEEK1
- Galaxy1
- HADDOCK web portal1
- Metabolic Atlas1
- Open PHACTS API1
- Open Targets1
- PDBe1
- PDBe-KB1
- WorkflowHub1
- edgeR1
- tidybulk1
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Venue
- online17
- Online15
- European Bioinformatics Institute, Hinxton10
- SIB10
- EBI, Wellcome Genome Campus8
- EMBL-EBI, Wellcome Genome Campus7
- United Kingdom7
- , Wellcome Genome Campus2
- Earlham Institute (EI), Colney Lane2
- Frankfurt am Main2
- Ghent - VIB/UGent FSVM II, Technologiepark 752
- Pam Liversidge Building, Design Studio 1 - D06, or ONLINE2
- University of Cambridge, Downing Street2
- University of Sheffield, or ONLINE2
- Zoom2
- 17. listopadu 1192/12, 12 17. listopadu1
- 17. listopadu, 17. listopadu1
- Australia1
- Barber House Boardroom (PROVISIONAL) or ONLINE1
- Barcelona Supercomputing Centre (BSC)1
- Bartolome House Seminar Room EG03, or ONLINE1
- Bartolome House, Seminar Room EG03, University of Sheffield, or ONLINE1
- Bartolome House, Seminar Room EG03, or ONLINE1
- Berlin1
- Bhupat and Jyoti Mehta School of Biosciences, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras1
- Campus Brussels, Maastricht University, Tervurenlaan 1531
- Center of Data and Knowledge Integration for Health - CIDACS, Instituto Gonçalo Moniz (IGM), technical-scientific unit (FIOCRUZ), R. Mundo 121, Ed. Tecnocentro, Trobogy1
- Craik-Marshall Building1
- Delivered online virtually, with face-to-face sessions on Teams.1
- Digital1
- EMBL Heidelberg, 1 Meyerhofstraße1
- EMBL-EBI, EMBL EBI1
- Erasmus Medical Center, Dr. Molewaterplein 401
- Espoo1
- European Bioinformatics Institute1
- Eye Filmmuseum1
- Georges-Köhler-Allee 79, 79 Georges-Köhler-Allee1
- Heidelberg1
- Hotel NH Padova, Via Niccolò Tommaseo, 611
- INESC, 9 Rua Alves Redol1
- INESC-ID, Rua Alves Redol1
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
- Kassel1
- Korinth1
- Köln1
- Leonardo Hotel Manchester Central, 56 Great Bridgewater St1
- Narva mnt 18, room 20211
- On Line - ZOOM platform1
- On line event1
- Online via Zoom1
- Online workshop delivered via Zoom1
- Palacky University Olomouc (UPOL) Faculty of Science tř. 17. listopadu 12, Olomouc 77900, Czech Republic rooms 3.002 (tutorials/challenge), 3.003 (lectures)1
- Saarbrücken1
- TF fløy III, 1430 Kajaveien1
- The Open University - Online1
- USP / FIOCRUZ Amazonas, Rua Terezina, 476 - Adrianópolis1
- University of Costa Rica (UCR), Ciudad universitaria Rodrigo Facio Brenes1
- University of Liverpool, Brownlow Hill1
- University of Ljubljana, Faculty of Medicine1
- Uppsala University, SciLifeLab, BMC, Husargatan 3, Uppsala1
- Via Principessa Margherita, 461
- Virtual (Slack)1
- Wyndham Garden Berlin Mitte, 116A Osloer Straße1
- on site, The trainer will come to your lab1
- register for online participation: https://attendee.gotowebinar.com/register/14291236370652551811
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City
- Streamed98
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- Sheffield, or online7
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- online3
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- Olomouc 92
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- 1150 Sint-Pieters-Woluwe1
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- Sheffield1
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- Trondheim1
- Uppsala1
- Zoom1
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Sponsor
- NERC16
- Centre for Digital Life Norway11
- ELIXIR Europe10
- ELIXIR Belgium8
- Australian BioCommons7
- ELIXIR Converge5
- NanoCommons5
- This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)5
- de.NBI5
- Avans Hogeschool4
- ELIXIR-CONVERGE4
- EU H20204
- Erasmus Medical Center4
- H3ABioNet4
- University of Freiburg4
- 101100604 - DIGITAL-2022-TRAINING-023
- ABRomics3
- Co-funded by the European Commission3
- ELIXIR3
- ELIXIR CZ3
- Institut Français de Bioinformatique3
- NanoSolveIT3
- Palacký University Olomouc3
- RDA-Portugal3
- The Pennsylvania State University3
- ELIXIR Norway2
- EU H2020 NanoCommons2
- Pôle National de Données de Biodiversité2
- The Carpentries2
- Aurora1
- Aurora Alliance1
- Austrian Science Fund grant W012131
- BioMedData1
- CSUC1
- Center for Experimental and Clinical Imaging Technologies Zurich (EXCITE Zurich)1
- DataPLANT (NFDI4Plants)1
- EASI-genomics1
- ELIXIR 1
- ELIXIR Slovenia1
- ELIXIR Training Platform1
- ELIXIR-CZ1
- FEUGA1
- Flanders BioImaging1
- Gallantries: Bridging Training Communities in Life Science, Environment and Health1
- Genetics Society of AustralAsia1
- HPC Carpentry1
- IRCCS Ospedale San Raffaele1
- Impact evaluation at Node-level - getting it done” Commissioned service from ELIXIR1
- LINQ management GmbH1
- Libra1
- Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg1
- NanoRigo1
- Nanocommons1
- NeIC1
- Nordic e-Infrastructure Collaboration (NeIC)1
- Pan-Africa network for genomic surveillance of poverty related diseases and emerging pathogens1
- Pan-African Consortium for the Evaluation of Antituberculosis Antibiotics1
- RiskGone1
- SciComm Academy1
- Seqera1
- South African National Bioinformatics Institute, University of the Western Cape1
- Swiss Tropical and Public Health Institute1
- The European & Developing Countries Clinical Trials Partnership1
- The European Union1
- The Foundation for Innovative New Diagnostics1
- Università Vita-Salute San Raffaele1
- VEIS1
- https://nanorigo.eu/1
- nanocommons1
- nf-core1
- www.nanocommons.eu1
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Target audience
- Researchers49
- PhD students37
- Graduate students21
- Life Science Researchers19
- Academics13
- mixed audience13
- Industry12
- Master students12
- All postgraduates11
- PhD10
- bioinformaticians10
- PhD candidate9
- Professors8
- Wet-lab researchers and bioinformaticians8
- data steward / data manager8
- Post Docs7
- Beginner6
- Biologists6
- Senior scientist/ Principal investigator6
- Life sciences5
- PhD Students5
- PhD candidates5
- Students5
- Technicians5
- Undergraduate students5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
- Biologists, Genomicists, Computer Scientists4
- Clinicians4
- Life Scientists4
- data stewards4
- post-docs4
- postdoctoral researchers4
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Early Career Researchers (ECRs)3
- Graduate Students3
- Graduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data.3
- Graduates, postgraduates, and PIs, who are using, or planning to use, the statistical software R to manipulate and analyse NGS and other data in their research. This is an introductory level course: no prior experience of R is necessary before starting the workshop.3
- Graduates, postgraduates, and PIs, without any previous command-line experience, who want to learn to use the Linux command-line in order to be able to work with large data files.3
- Intermediate3
- Job seeker3
- Masters students3
- Research presentation3
- Researcher in life sciences3
- Small and Medium-sized Enterprises (SMEs)3
- data manager3
- data managers3
- life scientists3
- project manager3
- researchers3
- Beginners2
- Bioinformatician2
- Early Career Researcher2
- Evolutionary Biologists2
- Graduates, postgraduates, and PIs, who are using, or planning to use, single cell RNA-seq technology in their research and want to learn how to process and analyse single cell RNA-seq data.2
- Molecular Biologists2
- PI2
- PIsSenior scientist/ Principal investigator2
- Pathologists2
- Plant research2
- Post docs2
- Post-Docs2
- PostDocs2
- Postdoctoral researchers2
- Postgraduate students2
- 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.2
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
- This course is intended for researchers who need to analyse genomic data in order to call genomic variants. Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line; our 1-day 'Linux for bioinformatics' course is a suitable background.2
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis.2
- Trainers2
- Training Designers2
- Training instructors2
- beginner bioinformaticians2
- database managers2
- healthcare professionals2
- medical specialists2
- modellers for nanosafety prediction2
- policy officer2
- registry curators2
- reproducible research2
- research software engineers and research data managers working with ELIXIR-supported tools and resources2
- software developers, bioinformaticians2
- software engineers2
- students2
- PhD students1
- rare disease patients representatives1
- Academics, post-graduate students, and anyone looking to learn this essential bioinformatics skill.1
- Analysts1
- Anyone interested in learning about metabolomics1
- Anyone who wants to learn more about GWAS1
- Applicants must be employed within Latin America only. A relevant undergraduate-level degree in a biology or computer science / informatics degree would be helpful. You may have an MSc/PhD in biology, computer science and/or bioinformatics, or relevant experience through employment. Please note this course will be taught in English, however some trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. You may be expected to watch pre-recorded videos and complete short assignments prior to attending the workshop. This should amount to up to 5 hours of work. 1
- Beginners who have very little background in using the command line and are enthusiastic to learn more1
- Bench biologists1
- Bioinformaticians1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformaticians and wet-lab biologists1
- Bioinformaticians and wet-lab biologists who can program1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Biomedical researchers1
- Biophysicists1
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Language
- English25
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