Teresa Przytycka, Ph.D.

Senior Investigator

Algorithmic Methods in Computational and Systems Biology (AlgoCSB)


Building 38A, Room 8S812
8600 Rockville Pike
Bethesda, MD 20894



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.


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

  1. Salari R, Kimchi-Sarfaty C, Gottesman MM, Przytycka TM. Sensitive measurement of single-nucleotide polymorphism-induced changes of RNA conformation: application to disease studies. Nucleic Acids Res. 2013;41(1):44-53.

  2. 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.

  3. Dao P, Kim YA, Wojtowicz D, Madan S, Sharan R, Przytycka TM. BeWith: A Between-Within method to discover relationships between cancer modules via integrated analysis of mutual exclusivity, co-occurrence and functional interactions. PLoS Comput Biol. 2017;13(10):e1005695.

  4. 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.

  5. Kim YA, Cho DY, Dao P, Przytycka TM. MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types. Bioinformatics. 2015;31(12):i284-92.

This page was last updated on September 19th, 2018