- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- SIB Swiss Institute of Bioinformatics10
- BioData.pt4
- Centre for Digital Life Norway3
- ELIXIR Slovenia3
- Birmingham Metabolomics Training Centre2
- ELIXIR Estonia2
- ELIXIR: The Czech Republic Node2
- de.NBI2
- Barcelona Supercomputing Center (BSC)1
- ELIXIR Portugal1
- ELIXIR-SI eLearning Platform (EeLP)1
- IFB French Institute of Bioinformatics1
- NBIS1
- Show N_FILTERS more
-
-
-
Keyword
- training12
- Data management plan8
- DMP5
- functional genomics5
- genes and genomes5
- EeLP4
- eLearning4
- experimental biology4
- life sciences4
- transcriptomics4
- Computer science3
- Data analysis3
- biochemistry3
- biostatistics3
- data management3
- mauro delorenzi & frédéric schütz group3
- next generation sequencing3
- proteins and proteomes3
- Chemical biology (chemical-biology)2
- Data Visualization2
- Data storage2
- Data visualisation2
- Data visualization2
- GWAS2
- Genetic Diversity2
- Metabolomics2
- NeLS2
- Population Genomics2
- QSAR2
- bioinformatics2
- biomarkers2
- data analysis2
- data sharing2
- data visualisation2
- drug discovery2
- frédérique lisacek group2
- genetic clustering2
- glycomics2
- high-performance computing2
- in silico drug design2
- mass spectrometry2
- microbiology2
- molecular docking2
- molecular modelling2
- pharmacophore2
- population genomics2
- protein interactions2
- proteomics2
- reproducibility2
- single-cell biology2
- structural biology2
- BIoinformatics1
- CWL1
- ChEMBL: Bioactive data for drug discovery (5496)1
- Compliance1
- DMP evaluation1
- DMP templates1
- DMP tools1
- DNA-seq1
- Data management planning1
- Data managment plan1
- Data processing1
- Data sharing1
- Data transfer1
- De novo1
- ELIXIR-CONVERGE1
- FAIR1
- FAIR principles1
- Galaxy1
- Git1
- Identifiers1
- Image analysis1
- NGS1
- NGS bioinformatics1
- Nextflow1
- Open science1
- PDBe1
- PDBe-KB1
- Plotting data1
- Population genetics1
- Python1
- R Programming1
- R-programming1
- Shell1
- Single cell RNAseq1
- Snakemake1
- Spatial omics1
- Statistics1
- TSD1
- Variant calling1
- Version control1
- WES1
- WESkit1
- Workflows1
- alan bridge group1
- amos bairoch & lydie lane group1
- analysis pipeline1
- basic research1
- carpentry1
- competency1
- Show N_FILTERS more
-
-
-
Scientific topic
- Data management11
- Metadata management11
- Research data management (RDM)11
- Bioinformatics6
- Cloud computing5
- Computer science5
- HPC5
- High performance computing5
- High-performance computing5
- Data rendering3
- Data visualisation3
- Data archival2
- Data archiving2
- Data curation2
- Data curation and archival2
- Data preservation2
- Data privacy2
- Data security2
- Database curation2
- Exometabolomics2
- LC-MS-based metabolomics2
- MS-based metabolomics2
- MS-based targeted metabolomics2
- MS-based untargeted metabolomics2
- Mass spectrometry-based metabolomics2
- Metabolites2
- Metabolome2
- Metabolomics2
- Metabonomics2
- NMR-based metabolomics2
- Population genomics2
- Research data archiving2
- Active learning1
- Aerobiology1
- Behavioural biology1
- Biological rhythms1
- Biological science1
- Biological sequences1
- Biology1
- Biomolecular structure1
- Chromosome walking1
- Chronobiology1
- Clone verification1
- Computational structural biology1
- Cryobiology1
- DNA structure prediction1
- DNA-Seq1
- DNase-Seq1
- Data acquisition1
- Data collecting1
- Data collection1
- Data gathering1
- Drug development1
- Drug development science1
- Drug discovery1
- Ensembl learning1
- Exomes1
- Experimental techniques1
- Experiments1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Genome annotation1
- Genomes1
- Genomics1
- High throughput sequencing1
- High-throughput sequencing1
- Kernel methods1
- Knowledge representation1
- Lab method1
- Lab techniques1
- Laboratory experiments1
- Laboratory method1
- Laboratory techniques1
- Machine learning1
- Medicine development1
- Medicines development1
- Molecular structure1
- NGS1
- NGS data analysis1
- Neural networks1
- Next gen sequencing1
- Next generation sequencing1
- Nucleic acid design1
- Nucleic acid folding1
- Nucleic acid structure prediction1
- Panels1
- Personal genomics1
- Pipelines1
- Primer walking1
- Protein fold recognition1
- Protein structure prediction1
- RNA structure prediction1
- Recommender system1
- Reinforcement learning1
- Reproductive biology1
- Sanger sequencing1
- Sequence analysis1
- Sequence databases1
- Sequencing1
- Software integration1
- Show N_FILTERS more
-
-
-
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
- Docking simulation1
- Macromolecular docking1
- Molecular docking1
- Molecular dynamics1
- Molecular dynamics simulation1
- Molecular surface analysis1
- Protein dynamics1
- Protein secondary structure visualisation1
- RNA secondary structure visualisation1
- Structure database search1
- Structure rendering1
- Structure visualisation1
- Show N_FILTERS more
-
-
-
Venue
- SIB10
- 17. listopadu, 17. listopadu1
- BMC Trippelrummet Husargatan 3, entrance C111
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
- L69 7ZX1
- Palacky University Olomouc (UPOL) Faculty of Science tř. 17. listopadu 12, Olomouc 77900, Czech Republic rooms 3.002 (tutorials/challenge), 3.003 (lectures)1
- University of Ljubljana, Faculty of Medicine1
- Via Principessa Margherita, 461
- Virtual (Slack)1
- Show N_FILTERS more
-
-
-
Target audience
- PhD students
- Researchers66
- Graduate students21
- Life Science Researchers21
- Industry16
- Academics15
- Master students15
- Post Docs13
- mixed audience13
- All postgraduates12
- PhD11
- PhD candidate9
- Students9
- Wet-lab researchers and bioinformaticians9
- bioinformaticians9
- Professors8
- Biologists7
- Life Scientists7
- PhD Students7
- Beginner6
- PI6
- Senior scientist/ Principal investigator6
- Technicians6
- data steward / data manager6
- Life sciences5
- Molecular Biologists5
- PIsSenior scientist/ Principal investigator5
- PhD candidates5
- Undergraduate students5
- data stewards5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformatician4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
- Masters students4
- PhD student4
- Researcher4
- Researcher in life sciences4
- post-docs4
- postdoctoral researchers4
- Academic3
- Bioinformaticians3
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Biologists, Genomicists, Computer Scientists3
- Clinicians3
- Data managers3
- Early Career Researchers (ECRs)3
- Expert Support3
- Government3
- Graduate Students3
- Job seeker3
- Pathologists3
- Post-Docs3
- Research presentation3
- Scientists3
- Small and Medium-sized Enterprises (SMEs)3
- Student3
- Trainers3
- data managers3
- life scientists3
- reproducible research3
- Beginners2
- 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
- Data Scientist2
- Data Scientists2
- Data stewards2
- Early Career Researcher2
- Early career investigators2
- Evolutionary Biologists2
- Industry professionals, and people with a keen interest in the subject.2
- Intermediate2
- Plant research2
- Post docs2
- PostDoc2
- PostDocs2
- Statistician2
- 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 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
- Training Designers2
- Training instructors2
- Young researchers, Members of the Italian Society of Biochemistry and Molecular Biology (SIB)2
- beginner bioinformaticians2
- data manager2
- modellers for nanosafety prediction2
- project manager2
- research software engineers and research data managers working with ELIXIR-supported tools and resources2
- researchers2
- software developers, bioinformaticians2
- software engineers2
- PhD students1
- rare disease patients representatives1
- Analysts1
- Anyone interested1
- 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
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformaticians and wet-lab biologists1
- Show N_FILTERS more
-
-
-
Language
- English12
- Show N_FILTERS more
-
- Show all events
- Show events from all spaces
- Hide past events
- Show disabled events
- Show events with broken links