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- QSAR7
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Operation
- Docking simulation4
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- Molecular surface analysis4
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- Design1
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Venue
- Faculty of Science, Palacky University Olomouc, 17. listopadu 1192/122
- Palacky University Olomouc (UPOL) Faculty of Science tř. 17. listopadu 12 rooms 3.002 (tutorials/challenge), 3.003 (lectures) Olomouc 77900 Czech Republic2
- 17. listopadu 1192/12, 12 17. listopadu1
- 17. listopadu, 17. listopadu1
- FORTH1
- 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
- Leuven1
- On Line - ZOOM platform1
- Palacky University Olomouc (UPOL) Faculty of Science tř. 17. listopadu 12, Olomouc 77900, Czech Republic rooms 3.002 (tutorials/challenge), 3.003 (lectures)1
- Pasteur Hellenic Institute, 127 Vasilissis Sofias1
- 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 Minho - Campus of Gualtar, Rua da Universidade1
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Target audience
- Master students
- PhD students362
- Graduate students294
- Academics290
- Industry290
- PhD287
- Researchers173
- Life Science Researchers49
- Beginner36
- Biologists34
- bioinformaticians30
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- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
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- Bioinformaticians and wet-lab biologists who can program in Python or R.3
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- Student3
- 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 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
- basic research3
- data librarians3
- data manager3
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Language
- English7
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