EMBL-EBI
Introduction to multiomics data integration
Date: 12 - 15 February 2019
With the increase in the volume of data across the whole spectrum of biology, more researchers are looking to integrate omics data of different types to inform hypotheses and biological questions. This may also include public domain data, which can provide added value to data derived through researcher’s own work and inform experimental design. This introductory course will highlight the challenges that researchers face in integrating multiomics data sets using biological examples. The course will focus on the use of public data resources and open access tools for enabling integrated working, with an emphasis on data visualisation. Please note this course does not cover statistical approaches for data integration.
Venue: European Bioinformatics Institute Hinxton
Region: Cambridge
Country: United Kingdom
Postcode: CB10 1SD
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 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.
Capacity: 30
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