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- This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)5
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- Anyone intersted in GWAS and using the H3Africa genotyping chip4
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- 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
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Instructor
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- Matheus Lourenço42
- Benjamin Pavie38
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- Niels Vandamme18
- Agnes Uhereczky17
- David Armstrong17
- Liesbeth De Milde17
- Michal Szpak17
- Nancy George17
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- Deepak Tanwar16
- Lucia Smit16
- Birgit Meldal15
- James Collier14
- Kobe Lavaerts14
- Sarah Morgan14
- Tom Hancocks14
- Wendi Bacon14
- Alexandra Holinski13
- Baron Koylass13
- Emily Perry13
- Sebastian Munck13
- Anna Swan12
- Dayane Rodrigues Araujo12
- Sam Holt12
- Tania Wyss Lozano12
- Tatiana Woller12
- David Wishart11
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