Peter J. Park, Ph.D.
Affiliations: | Ecology and Evolution | Stony Brook University, Stony Brook, NY, United States |
Area:
Paleobiology, Population Biology, Evolutionary Genetics, SticklebackGoogle:
"Peter Park"Parents
Sign in to add mentorMichael A. Bell | grad student | 2011 | SUNY Stony Brook | |
(Variation of Spatial Strategies and the Telencephalon of the Threespine Stickleback (Gasterosteus aculeatus) in Relation to Inferred Ecology.) |
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Publications
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Roberts Kingman GA, Vyas DN, Jones FC, et al. (2021) Predicting future from past: The genomic basis of recurrent and rapid stickleback evolution. Science Advances. 7 |
Reim NI, Chuang J, Jain D, et al. (2020) The conserved elongation factor Spn1 is required for normal transcription, histone modifications, and splicing in Saccharomyces cerevisiae. Nucleic Acids Research |
Ettou S, Jung YL, Miyoshi T, et al. (2020) Epigenetic transcriptional reprogramming by WT1 mediates a repair response during podocyte injury. Science Advances. 6: eabb5460 |
Chu C, Zhao B, Park PJ, et al. (2020) Identification and Genotyping of Transposable Element Insertions From Genome Sequencing Data. Current Protocols in Human Genetics. 107: e102 |
Goldman MJ, Zhang J, Fonseca NA, et al. (2020) A user guide for the online exploration and visualization of PCAWG data. Nature Communications. 11: 3400 |
Yun JW, Yang L, Park HY, et al. (2020) Dysregulation of cancer genes by recurrent intergenic fusions. Genome Biology. 21: 166 |
Huang AY, Li P, Rodin RE, et al. (2020) Parallel RNA and DNA analysis after deep sequencing (PRDD-seq) reveals cell type-specific lineage patterns in human brain. Proceedings of the National Academy of Sciences of the United States of America |
Cortés-Ciriano I, Lee JJ, Xi R, et al. (2020) Publisher Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing. Nature Genetics |
Touat M, Li YY, Boynton AN, et al. (2020) Mechanisms and therapeutic implications of hypermutation in gliomas. Nature. 580: 517-523 |
Wang S, Lee S, Chu C, et al. (2020) HiNT: a computational method for detecting copy number variations and translocations from Hi-C data. Genome Biology. 21: 73 |