EMBL-EBI on-site course | Introduction to multiomics data integration and visualisation
European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
Web Address
https://www.ebi.ac.uk/training/events/introduction-multiomics-data-integration-and-visualisation-2/?utm_source=the+genetics+society&utm_medium=listing&utm_campaign=MUL23-01_genetics_soc&utm_id=MUL23-01_genetics_soc
Registration
Deadline: 18/11/2022
Click here to register
General Information
With the increase in the volume of data across the whole spectrum of biology, more opportunities as well as challenges have been created to identify novel perspectives and answer questions in life sciences. 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. This course will not include systems biology modelling or machine learning.
A major element of this course is a group project, where participants will be placed in small groups to work together on a challenge set by trainers from EMBL-EBI data resource and research teams. This allows people to explore the bioinformatics tools and resources introduced in the course and to apply these to a set problem, providing hands-on experience of relevance to their own research. The group work will culminate in a presentation session involving all participants on the final day of the course, giving an opportunity for wider discussion on the benefits and challenges of integrating data. You may refer to the previous group projects that were organised for this course in March 2022.
Deadline for submissions: 18th November 2022
Meeting organisers:
EMBL-EBI
Speakers:
Isidro Cortes Ciriano, EMBL-EBI
Tamás Korcsmáros, Imperial College London
Ajay Mishra, EMBL-EBI
Evangelia Petsalaki, EMBL-EBI
