Ayal Gussow, Ph.D.
Formerly a postdoctoral fellow in Dr. Eugene Koonin's group at the National Center for Biotechnology Information (NCBI) at the National Institutes of Health. Prior to that, I completed my Ph.D. through Duke University’s Computational Biology and Bioinformatics program in 2016, conducting research under the guidance of Dr. David Goldstein.
I am also the co-founder of MedChances, a website that provides free admissions predictions for medical school applicants.
I have been programming professionally since 2004 and developing computational approaches to biological research since 2010. I received my B.Sc. in Life Sciences from the Hebrew University of Jerusalem.
Contact me at ayal@ayalgussow.com.
Note: * denotes co-first authorship, ^ denotes corresponding author.
Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses.
Prediction of the virus incubation period for COVID-19 and future outbreaks.
Machine-learning approach expands the repertoire of anti-CRISPR protein families.
Seeker: Alignment-free identification of bacteriophage genomes by deep learning.
Evolutionary and functional classification of the CARF domain superfamily, key sensors in prokaryotic antivirus defense.
Discovery of an expansive bacteriophage family that includes the most abundant viruses from the human gut.
Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes.
Inhibition of microRNA-128 promotes excitability of cultured cortical neuronal networks.
The intolerance of regulatory sequence to genetic variation predicts gene dosage sensitivity.
XX ovarian dysgenesis is caused by a PSMC3IP/HOP2 mutation that abolishes coactivation of estrogen-driven transcription.