PhD in Biology - Computational Biology in New York United States | New York University

Advances in cutting-edge technologies like next-generation sequencing have made high-throughput biological data more accessible and affordable to produce. Information is now generated so rapidly that data analysis has become the primary obstacle to scientific breakthroughs. Computational Biology focuses on creating and implementing mathematical, statistical, and computational approaches to effectively handle and interpret large biological datasets. The Department of Biology and the Center for Genomics and Systems Biology offer a comprehensive program designed to educate aspiring computational biologists in genomics, mathematics, statistics, and computer science. Researchers in the Department employ various computational techniques to address biological questions across diverse organisms, from yeast and viruses to plants and parasites. These methods include: Constructing computational workflows for assembling, annotating, and analyzing complete genome sequences, transcriptomes from various tissues and developmental stages, and protein interaction networks. Utilizing machine learning to predict gene and protein functions. Applying statistical approaches like Hidden Markov Models and homology data to forecast gene and protein structures. Creating user-friendly tools that allow biologists without computational expertise to process their own data.