Date: 8 - 10 July 2019

For some time, advances in computer science and high performance computing have led to ground-breaking developments in systems biology model inference. However, only now has there been sufficient large-scale data available to parameterise these models and use them usefully. Similarly, machine learning approaches have recently started having a significant impact in our analysis of large omics datasets and extraction of useful biological knowledge.

Therefore this course, run in collaboration with the Wellcome Genome Campus Advanced Courses and Scientific Conferences Team, will provide timely advanced-level training in using large-scale multi-omics data and machine learning to infer biological models.

Contact: Yvonne Thornton - [email protected]

Venue: European Bioinformatics Institute, Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Organizer: European Bioinformatics Institute (EBI)

Host institutions: European Bioinformatics Institute

Target audience: Applicants should be researchers who are using large multi-omics datasets to infer systems biology models. This is an advanced-level course, and so we will select applicants who already have some experience (ideally 1-2 years) of working with systems biology modelling or related large-scale multi-omics data analysis. Additionally, applicants will be expected to have a working knowledge of using Linux commands, and experience of using a programming language (e.g. Python or Perl).

Capacity: 30

Event types:

  • Workshops and courses

Scientific topics: Systems biology


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