The Pavlidis lab research lies at the intersection of bioinformatics and neuroscience – sometimes referred to as neuroinformatics.

One of the great challenges of neuroscience is understanding how genes influence behaviour. Linking information at the level of genes to cellular physiology and other aspects of nervous system development and organization is essential. To this end we work on integrating and interpreting genomics and genetics with data on networks, cells, structures, connections and phenotypes, and apply these approaches to increasing understanding of human conditions such as schiozphrenia, depression, autism and Alzheimer’s disease.

An area of special interest in our lab is the analysis, interpretation and application of gene expression profiling data. We recurate, integrate and re-analyze data relevant to nervous system function. We also work extensively genome sequencing and epigenetics data.

Please visit our publications list for more information.

We also develop and evaluate computational methods, databases and tools. Many of these are of broad applicability (not just for neuroscientists), such as GemmaGOTrack and ErmineJ. For a list of tools please see the lab resources page.




We work extensively with genomics and genetics data generating labs as well as with groups that help us evaluate and validate computational results. Some of our recent or ongoing collaborators include:


  • Kurt Haas, UBC – Functional analysis of autism-associated genetic variants
  • Etienne Sibille, U of Toronto: Neurobiology of depression
  • Phil Hieter, UBC – Canadian Rare Diseases: Models & Mechanisms Network.
  • Gustavo Turecki, McGill – Genomics of depression and suicide
  • Joerg Gsponer, UBC – Genetic modifiers of neurodegenerative disease risk
  • James Johnson, UBC – Brain insulin in memory & Alzheimer’s disease.
  • Andrew Su, Scripps Research Institute – GeneWiki.
  • Suzanne Lewis, UBC – Genetics of autism.