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John Quackenbush, PhD

Professor, Department of Biostatistics, Harvard School Of Public Health

Professor, Biostatistics and Computational Biology, Dana-Farber Cancer Institute

Contact Info

John Quackenbush
Dana-Farber Cancer Institute
450 Brookline Avenue
Boston, MA, 02215
Mailstop: SM822
Phone: 617-582-8163
Fax: 617-632-2444
johnq@jimmy.harvard.edu

Assistant

Julianna Coraccio
Administrative Support Associate
Biostatistics & Computational Biology
Dana-Farber Cancer Institute
450 Brookline Ave
Boston, MA, 02215
Mailstop: SM-822
Phone: 617-582-7667
julianna@jimmy.harvard.edu

DF/HCC Program Affiliation

Breast Cancer
Biostatistics and Computational Biology

Lab Website

Center for Cancer Computational BiologyLaboratory of Compuatational Biology and Functional Genomics

Research Abstract

The transforming event of the human genome project has neither been the production of a draft reference genome sequence nor the creation of a preliminary catalogue of human genes, but rather the creation of technologies that allow us to generate data on a genomic scale. Applications such as microarray transcriptional profiling, proteomics, and metabolomics/metabonomics, have begun to provide insight into fundamental biological processes and the hope is that they will help us to understand the pathways and networks that underlie the biological processes we are studying. In practice, however, these technologies often generate long lists of “significant” genes, proteins, or metabolites, and a good deal of additional work is necessary to turn this data into a clear picture that reveals insight into the mechanism responsible for the phenotype we observe. Our group uses a variety of bioinformatics and computational approaches, biostatistical analyses, and fundamental laboratory investigation to explore fundamental questions about the nature of human cancers. Our approach is based on using high-throughput assays and analyzing the results by integrating diverse datatypes, including the genome sequence, its annotation, genetic information, phenotype, and the vast body of knowledge captured in the literature. Our goal is not only to develop insight into these processes, but to provide tools, protocols, and databases to the broader community that will accelerate research.

Publications

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