Noa Rappaport, PhD

Research Scientist

Computational Biology

I received my Bachelor’s degree in Biology under the Technion Excellence Program in Israel. I did My masters and PhD  with Prof. Naama Barkai at the Weizmann Institute of Science in Israel. The focus of my masters was mathematical models in yeast of biological timers and robust gradient detection.  My PhD was focused on studying the evolution of anti-fungal drug resistance.

During my post-doc at the lab of Prof. Doron Lancet at the Weizmann Institute of science, I led the development of MalaCards – an integrated database of human diseases.

My main interest is systems biology with the long-term goal to study how concepts such as control, regulation, program and function, emerge in complex biological systems. I am mainly interested in applying and developing mathematical methodologies and bioinformatic tools for studying the design principles of biological systems. Also, I am interested to study how intricate web of interactions (among cellular components, among diseases etc.) affect function and how the network can be controlled by cellular context in a way that can be utilized for medical applications.

  • Bioinformatics
  • Mathematical Modelling
  • Medical databases

Lowe, Mark E., Dana K. Andersen, Richard M. Caprioli, Jyoti Choudhary, Zobeida Cruz-Monserrate, Anil K. Dasyam, Christopher E. Forsmark, et al. 2019. “Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop.” Pancreas 48 (10): 1250–58. https://doi.org/10.1097/MPA.0000000000001412. Cite
Earls, John C., Noa Rappaport, Laura Heath, Tomasz Wilmanski, Andrew T. Magis, Nicholas J. Schork, Gilbert S. Omenn, Jennifer Lovejoy, Leroy Hood, and Nathan D. Price. 2019. “Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 Individuals.” The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 74 (Supplement_1): S52–60. https://doi.org/10.1093/gerona/glz220. Cite
Wilmanski, Tomasz, Noa Rappaport, John C. Earls, Andrew T. Magis, Ohad Manor, Jennifer Lovejoy, Gilbert S. Omenn, Leroy Hood, Sean M. Gibbons, and Nathan D. Price. 2019. “Blood Metabolome Predicts Gut Microbiome α-Diversity in Humans.” Nature Biotechnology. https://doi.org/10.1038/s41587-019-0233-9. Cite
Rappaport, Noa, Simon Fishilevich, Ron Nudel, Michal Twik, Frida Belinky, Inbar Plaschkes, Tsippi Iny Stein, et al. 2017. “Rational Confederation of Genes and Diseases: NGS Interpretation via GeneCards, MalaCards and VarElect.” Biomedical Engineering Online 16 (Suppl 1): 72. https://doi.org/10.1186/s12938-017-0359-2. Cite