Includes data and text-mining, ontologies, databases and machine learning approaches that do not fit in other categories.

Includes analysis of mutations, phenotypes, drugs, epidemiology and other clinically relevant areas

Includes work in genes (including non-coding RNA), transcriptomes, genomes and variation.

Includes analysis of proteins and their structures and proteomics.

This theme includes higher level systems such as cells, tissues, whole organisms and ecosystems. Includes systems biology, molecular interactions and genetic regulation.

Research areas that do not fall within the five (5) main thematic areas. The organizers may, at their discretion, move submissions to other thematic areas.