Latino Studies at New York University

Bud Mishra

Professor of Mathematics and Computer Science
Courant Institute of Mathematical Sciences
New York University

February 14, 2012

The Genome Question: Moore vs. Jevons

It is often said that genomics science is on a Moore’s law, growing exponentially in data throughput, number of assembled genomes, lowered cost, etc.; and yet, it has not delivered the biomedical promises made a decade ago: personalized medicine; genomic characterization of diseases like cancer, schizophrenia, and autism; bio-markers for common complex diseases; prenatal genomic assays, etc. What share of blame for this failure ought to be allocated to computer science (or computational biology, bioinformatics, statistical genetics, etc.)? How can the computational biology community lead genomics science to rescue it from the current impasse? What are the computational solutions to these problems? What should be our vision of computational biology in the coming decade?