Presented By: DCMB Seminar Series
DCMB / CCMB Weekly Seminar featuring Peter Park, PhD (of Harvard Medical School, Blavatnik Institute Biomedical Informatics)
Talk Title: “Mutational signature analysis and its applications”
Abstract: Different mutational processes operative in cancer and other diseases leave distinct 'signatures' on the DNA. Mutational signature analysis is an attempt to deconvolve the mutational patterns from DNA sequencing data to identify the underlying mutagenic processes. I will describe the methodological advances we have made in recent years as well as their applications to the detection of patients with homologous recombination deficiency (HRD), who may be considered for PARP inhibitor therapy. In last part, I will share a few insights I have gained about research productivity.
Short Bio:
Dr. Park is a Professor of Biomedical Informatics at Harvard Medical School and the director of its Bioinformatics and Integrative Genomics PhD program. His research group specializes in computational and statistical analysis of large-scale DNA sequencing data to understand genetic and epigenetic mechanisms related to disease processes. 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. His laboratory has developed several algorithms for genome analysis, especially for identification of structural alterations from whole-genome sequencing data, and has made substantial contributions to consortium projects such as The Cancer Genome Atlas (TCGA), Encyclopedia of DNA Elements (ENCODE), and Brain Somatic Mosaicism Network, and 4D Nucleome (4DN).
Short Bio:
Dr. Park is a Professor of Biomedical Informatics at Harvard Medical School and the director of its Bioinformatics and Integrative Genomics PhD program. His research group specializes in computational and statistical analysis of large-scale DNA sequencing data to understand genetic and epigenetic mechanisms related to disease processes. 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. His laboratory has developed several algorithms for genome analysis, especially for identification of structural alterations from whole-genome sequencing data, and has made substantial contributions to consortium projects such as The Cancer Genome Atlas (TCGA), Encyclopedia of DNA Elements (ENCODE), and Brain Somatic Mosaicism Network, and 4D Nucleome (4DN).
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