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- Multiomics
- Advances in spatial omics5
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- Omics
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- Workshops and courses5
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- Australia1
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Target audience
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists / bioinformaticians who wish to gain a better knowledge of the biological challenges presented when working with integrated datasets. Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction 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
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists/bioinformaticians who wish to gain a better knowledge of the biological challenges presented when working with integrated datasets. Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
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Eligibility
- First come first served2
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Instructor
- Johannes Griss3
- Ajay Mishra2
- Dezso Modos2
- Marton Olbei2
- Sandra Orchard2
- Tamás Korcsmáros2
- Andrew Hercules1
- Aurelien Dugourd1
- Britta Velten1
- Danish Memon1
- Elena Lukyanova1
- Gaurhari Dass1
- Helena Cornu1
- Konstantinos Tsirigos1
- Lee Larcombe1
- Magnus Øverlie Arntzen1
- Manik Garg1
- Maria Zimmermann1
- Pablo Porras Millan1
- Rachel Lyne1
- Samuel Collombet1
- Sergio Contrino1
- Shila Ghazanfar1
- Vy Nguyen1
- Yasset Perez-Riverol1
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