The overarching goal of Olga Troyanskaya’s research is to predict and verify the biological function of genes and proteins within an organism, by utilizing the power of computation to better harness the information found in diverse biological assays.
Her current research areas include genomic data integration; gene expression analysis; gene and protein function prediction; detection and analysis of chromosomal abnormalities and functional evolution; integration of computation and experiments; identification of biological networks and pathways; evaluation and validation of computational predictions; and scalable visualization-based data analysis.
Ira Herskowitz Award, Genetic Society of America, 2014
Overton Prize, 2011
Howard Wentz Faculty Award, 2006
Sloan Fellowship, 2005
Greene, C.S. et al. "Understanding multicellular function and disease with human tissue-specific networks." Nature Genetics 47 (2015): 569–76.
Chikina, M.D. et al. "Low-variance RNAs identify Parkinson's disease molecular signature in blood." Movement Disorders 30, no. 6 (2015): 813–21.
Park, C.Y. et al. "Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms." Bioinformatics 31, no. 7 (2015): 1093–1101.
Goya, J. et al. "FNTM: a server for predicting functional networks of tissues in mouse." Nucleic Acids Res. 43 (July 2015): W182–87.
Wong, A.K. et al. "IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks." Nucleic Acids Res. 43 (July 2015): W128–33.