Integrative bioinformatics for emerging biological disciplines

In recent years, the amount of biological data available has increased exponentially, but this data is often heterogeneous, making it challenging to integrate, analyse, and interpret. This challenge is particularly acute in emerging biological disciplines, where research groups tend to be smaller, and data is less standardized and more heterogeneous.

In this talk, I will focus on a method for addressing these challenges, and discuss how we identified and integrated critical information about dendritic cell therapies into a knowledge graph. I will show how we used data mining to extract information from research articles and how we matched it with publicly available datasets to provide context. Finally I will talk about the relevance of the integrated data to the field.