Teresa Przytycka, Ph.D.
Senior Investigator
Algorithmic Methods in Computational and Systems Biology (AlgoCSB)
NLM
Research Topics
Dr. Przytycka is particularly interested in the dynamical properties of biological systems including spatial, temporal and contextual variations and exploring how such variations are impacting gene expression, functioning of biological pathways, and the phenotype of the organism.
Biography
After receiving a Ph.D. in Computer Science form the University of British Columbia, Vancouver, Teresa Przytycka's research has been concentrated on the theory of algorithms until, as a Sloan/DOE Computational Biology fellow, she started to apply algorithmic approaches to problems in Molecular and Systems biology. As an NIH Senior Investigator, she is heading a research group that focuses on computational modeling and analysis of biological processes, with an emphasis on hypothesis and theory-driven questions that are enabled by large-scale data.
Selected Publications
- Wang Y, Hoinka J, Przytycka TM. Subpopulation Detection and Their Comparative Analysis across Single-Cell Experiments with scPopCorn. Cell Syst. 2019;8(6):506-513.e5.
- Hirsch MG, Pal S, Rashidi Mehrabadi F, Malikic S, Gruen C, Sassano A, Pérez-Guijarro E, Merlino G, Sahinalp SC, Molloy EK, Day CP, Przytycka TM. Stochastic modeling of single-cell gene expression adaptation reveals non-genomic contribution to evolution of tumor subclones. Cell Syst. 2025;16(1):101156.
- Dao P, Hoinka J, Takahashi M, Zhou J, Ho M, Wang Y, Costa F, Rossi JJ, Backofen R, Burnett J, Przytycka TM. AptaTRACE Elucidates RNA Sequence-Structure Motifs from Selection Trends in HT-SELEX Experiments. Cell Syst. 2016;3(1):62-70.
- Wang Y, Lee H, Fear JM, Berger I, Oliver B, Przytycka TM. NetREX-CF integrates incomplete transcription factor data with gene expression to reconstruct gene regulatory networks. Commun Biol. 2022;5(1):1282.
- Kouzine F, Wojtowicz D, Baranello L, Yamane A, Nelson S, Resch W, Kieffer-Kwon KR, Benham CJ, Casellas R, Przytycka TM, Levens D. Permanganate/S1 Nuclease Footprinting Reveals Non-B DNA Structures with Regulatory Potential across a Mammalian Genome. Cell Syst. 2017;4(3):344-356.e7.
Related Scientific Focus Areas
This page was last updated on Friday, September 12, 2025