Tracks

---

Track 1: Informatics methods for the analysis of molecular and clinical measurements

Novel modalities for molecular measurements, including those for epigenetics, interactions, and proteins, continue to be introduced each year. This track will address the development of novel analytic methods for these molecular measurements as applied to disease, how molecular measurements can be stored and retrieved in electronic health records, and how existing analytic methods can now be applied to clinical measurements.

Track Chair: Marco Ramoni.

Track 2: Relating and representing phenotypes and disease

Phenotypes broadly describe the unique traits of an organism, some of which are related to disease. Improved measurement technologies and ontologies have enabled investigators to obtain and represent large collections of phenotypes, but relating these to clinical and health remains a challenge. Though electronic health records are being increasingly adopted, much of the useful phenotypic and clinical descriptors remain in free-text. This track will address all of these challenges, with presentations geared towards enabling novel prognostic, diagnostic, and therapeutic applications.

Track Chair: Yves Lussier.

Track 3: Dissecting disease through the study of organisms, evolution, and taxonomy

Over a quarter million different species have had some genetic sequence obtained. While animal and cellular models have long been studied as a proxy for human disease, this track will address the challenge of building informatics methods to relate experimental findings phenotypes from models to human disease, and methods that take advantage of the evolutionary scale of sequenced genomes. This track will also cover modeling of the spread of infectious disease.

Track Chair: Indra Neil Sarkar.

Track 4: Computational approaches to finding molecular mechanisms and therapies for disease

DNA sequencing, gene expression microarrays and other tools measuring outputs of the genome have been forecast to enable the discovery of biomarkers for disease and novel types of therapeutics. This track will focus on how data-driven, knowledge-driven, and physics-driven approaches can be applied to facilitate drug and biomarker discovery.

Track Chair: Olga Troyanskaya.