The overall goal of my computational genomics laboratory is to understand genetic and epigenetic mechanisms related to disease processes using high-throughput sequencing data. We have developed bioinformatic algorithms for analyzing various types of genomic data, including ChIP-seq, RNA-seq, and exome/genome sequencing data. We have a great deal of experience in integrative analysis of genomic and epigenomic data, and have made significant contributions to the model organism Encyclopedia of DNA (modENCODE) and The Cancer Genome Atlas (TCGA) consortia. In the past few years, we have developed a suite of computational tools for analysis of whole-genome data (WGS), especially for detection of copy number and complex structural variations, and have applied them to data from more than 1500 patients from TCGA. More recently, we have also been involved in several clinical sequencing projects at Boston Children’s Hospital and Brigham and Women’s Hospital.
About Peter Park
Dr. Park is an Associate Professor at Harvard Medical School and a co-director of its Bioinformatics and Integrative Genomics Ph.D. program. His group specializes in computational and statistical analysis of high-throughput sequencing data in epigenetics and cancer genomics. Originally trained in applied mathematics (B.A., Harvard; Ph.D., Caltech), he was introduced to molecular biology and genetics during his postdoctoral studies in biostatistics. He is a member of the Informatics Program at Boston Children's Hospital, Division of Genetics at Brigham and Women's Hospital, Harvard/Dana-Farber Cancer Center, and the Harvard Stem Cell Institute. He is a recipient of the Sloan Research Fellowship and the Harvard Medical School Young Mentor Award.