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- European Bioinformatics Institute (EBI)7
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- Bioinformatics1867
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- Workshops and courses7
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- United Kingdom4
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Target audience
- This course is targeted at biologists who want to explore, and gain further insight, into their own data through the use of visualisation and design approaches. Some prior experience in programming would be beneficial, but pre-reading and exercises will be sent out to all successful applicants prior to the start of the course. Example datasets will be provided which include: gene-gene interaction data gene-disorder links phylogeny of transcription factors ChIP-Seq and RNA-Seq1
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists / bioinformaticians who wish to gain a better understanding of the biological challenges when working with integrated datasets. No programming or command line experience is required to attend this course. Please note this course does not cover statistical approaches for data integration. For advanced-level training in using large-scale multiomics data and machine learning to infer biological models you may wish to consider our course on Systems Biology: From large datasets to biological insight.1
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Instructor
- Lee Larcombe2
- Adam Frost1
- Alex Bateman1
- Amanda M. Saravia-Butler1
- Andrew Jarnuczak1
- Anna Swan1
- Asier Gonzalez1
- Aybuke Kupcu Yoldas1
- Baron Koylass1
- Claire O’Donovan1
- Danila Bredhkin1
- David Fazekas1
- Dayane Rodrigues Araujo1
- Francesco Iorio1
- Girolamo Giudice1
- Hanna Najgebauer1
- Hedi Peterson1
- James Tolchard1
- Jan Aerts1
- Krishna Kumar Tiwari1
- Loïc Lannelongue1
- Marcus Bage1
- Masa Roller1
- Michaela Spitzer1
- Nikiforos Karamanis1
- Nils Eling1
- Pablo Porras Millan1
- Preeti Choudhary1
- Priit Adler1
- Rachel Lyne1
- Rahuman Sheriff Malik Sheriff1
- Ricard Argelaguet1
- Ryo Sakai1
- Sandra Orchard1
- Tamas Korcsmáros1
- Teresa Zulueta-Coarasa1
- Yasset Perez Riverol1
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