Clinical Annotations: reflecting databases and resources for clinical annotation of biological samples. The intersection of genetic, clinical (e.g. electronic health records) and environmental (e.g. ‘lifestyle’) data should lead to greater understanding of multifactorial disease such as diabetes and cancer.
Chairs: Warren Kibbe & Mathias Brochhausen.

Systems Biology: coordinating the development of the various community standards and formats for computational models, initially in systems biology and related fields. By doing so, in silico models combine, unify and reconcile genomic data for better understanding of biological systems and complex disease.
Chairs: Henning Hermjakob & Fritz Roth.

Functional Annotations: attaching biological information to genomics data. Typically, consists of describing the biological function, enzymatic function, and localization using a variety of pre-defined terms or identifiers.
Chairs: Iddo Friedberg.

Microbial Informatics: characterizing microbial diversity requires whole genome sequencing coupled with bioinformatics to facilitate genome assembly, gene prediction, and functional annotation. Elucidating microbial pathogens genomes will better understand the mechanisms of pathogenicity.
Chairs: Fiona Brinkman & John Parkinson.

Data Integration and Data Sharing: supporting tools and annotation pipelines vary considerably with the data type being curated. Producing reusable tools, enforcing standards, improving annotation quality and consistency and including text mining are core values.
Chairs: Gary Bader & Win Hide.