EMBL-EBI
Protein function prediction with machine learning and interactive analytics
Date: 29 - 30 May 2019
Do you want to learn how to develop models to predict protein function? Do you want analyse and exploit the growing volume of biological data? Do you want to develop basic skills in novel machine learning approaches and big data technologies?
This workshop explores how to conduct functional annotation of proteins through machine learning (ML) approaches. Participants will gain an insight into existing public protein data resources; and how novel approaches can be used to analyse and explore these data to gain new understanding of protein function. The workshop will introduce Apache Spark and Apache Zeppelin; technologies for fast data processing and integrating analytics respectively.
Venue: European Bioinformatics Institute Hinxton
Region: Cambridge
Country: United Kingdom
Postcode: CB10 1SD
Target audience: This workshop is aimed at researchers and bioinformaticians from across industry and academia who are looking to leverage machine learning approaches in protein function prediction. It will guide participants through the use of big data to build analytical workflows on publically-available biological data. Participants will require prior experience in the use of the command line interface and confidence in a programming language to fully benefit from the workshop. Please contact us if you have any questions about the course's suitability before you apply.
Capacity: 30
Activity log
