Course

Big Data Analysis in the Life Sciences

Technological and scientific advances have pushed the Life sciences into the BIG data era. The increased volume and heterogeneity of available data challenges scientists to master techniques for comprehensive data analysis. Extracting meaningful (biological) information from large datasets is increasingly becoming a challenge in all fields of life sciences.

Organised by the Graduate School VLAG, in co-operation with Systems and Synthetic Biology (Wageningen University) and Human Nutrition and Health (Wageningen University)
Date

Mon 21 October 2019 until Wed 23 October 2019

BACKGROUND
Technological and scientific advances have pushed the Life sciences into the BIG data era. The increased volume and heterogeneity of available data challenges scientists to master techniques for comprehensive data analysis. Extracting meaningful (biological) information from large datasets is increasingly becoming a challenge in all fields of lifesciences. Thus, the ability to select and deploy analys is tools and algorithms has become an indispensable skill for all researchers. In this course, we aim to introduce participants to techniques for comprehensive data analysis of large, hetero geneous datasets and extract relevant information for elucidating biological design principles. The course is modular and focuses on data generation, mining, analysis, data integration, and visualization.

TARGET GROUP
This course is aime that any one working with big data sets in the life ss sciences who has an interest in learning more about tools and possibilities for big data analysis. The course is introductory.

Required knowledge: Basic knowledge of statistics.