Peter Park

Peter Park, PhD

Professor of Biomedical Informatics
Director, Bioinformatics and Integrative Genomics (BIG) PhD Track

10 Shattuck Street, Boston, MA 02115

Park Lab

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).


DBMI Research Areas
DBMI Courses
Single-cell gene fusion detection by scFusion.
Authors: Jin Z, Huang W, Shen N, Li J, Wang X, Dong J, Park PJ, Xi R.
Nat Commun
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Author Correction: Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications.
Authors: Rigano A, Ehmsen S, Öztürk SU, Ryan J, Balashov A, Hammer M, Kirli K, Boehm U, Brown CM, Bellve K, Chambers JJ, Cosolo A, Coleman RA, Faklaris O, Fogarty KE, Guilbert T, Hamacher AB, Itano MS, Keeley DP, Kunis S, Lacoste J, Laude A, Ma WY, Marcello M, Montero-Llopis P, Nelson G, Nitschke R, Pimentel JA, Weidtkamp-Peters S, Park PJ, Alver BH, Grunwald D, Strambio-De-Castillia C.
Nat Methods
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Pairs and Pairix: a file format and a tool for efficient storage and retrieval for Hi-C read pairs.
Authors: Lee S, Bakker C, Vitzthum C, Alver BH, Park PJ.
Bioinformatics
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Computational analysis of cancer genome sequencing data.
Authors: Cortés-Ciriano I, Gulhan DC, Lee JJ, Melloni GEM, Park PJ.
Nat Rev Genet
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Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications.
Authors: Rigano A, Ehmsen S, Öztürk SU, Ryan J, Balashov A, Hammer M, Kirli K, Boehm U, Brown CM, Bellve K, Chambers JJ, Cosolo A, Coleman RA, Faklaris O, Fogarty KE, Guilbert T, Hamacher AB, Itano MS, Keeley DP, Kunis S, Lacoste J, Laude A, Ma WY, Marcello M, Montero-Llopis P, Nelson G, Nitschke R, Pimentel JA, Weidtkamp-Peters S, Park PJ, Alver BH, Grunwald D, Strambio-De-Castillia C.
Nat Methods
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Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder.
Authors: Borges-Monroy R, Chu C, Dias C, Choi J, Lee S, Gao Y, Shin T, Park PJ, Walsh CA, Lee EA.
Mob DNA
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Somatic mutation accumulation seen through a single-molecule lens.
Authors: Luquette LJ, Park PJ.
Cell Res
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Comprehensive identification of transposable element insertions using multiple sequencing technologies.
Authors: Chu C, Borges-Monroy R, Viswanadham VV, Lee S, Li H, Lee EA, Park PJ.
Nat Commun
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Predicting future from past: The genomic basis of recurrent and rapid stickleback evolution.
Authors: Roberts Kingman GA, Vyas DN, Jones FC, Brady SD, Chen HI, Reid K, Milhaven M, Bertino TS, Aguirre WE, Heins DC, von Hippel FA, Park PJ, Kirch M, Absher DM, Myers RM, Di Palma F, Bell MA, Kingsley DM, Veeramah KR.
Sci Adv
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HiTea: a computational pipeline to identify non-reference transposable element insertions in Hi-C data.
Authors: Jain D, Chu C, Alver BH, Lee S, Lee EA, Park PJ.
Bioinformatics
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