HMS-CSSA Longwood Scientific Salon: DNA sequencing

Jul - 30
2019

HMS-CSSA Longwood Scientific Salon: DNA sequencing

An Xiao

HMS-CSSA Longwood Scientific Salon

6:00 – 7:30 pm, Aug 1st (Thursday), 2019. Smith 308/309, Dana-Farber Cancer Institute. 1 Jimmy Fund Way, Boston, MA 02115.

01 Yanmei Dou, Ph.D.

Postdoctoral Fellow, Department of biomedical informatics, Harvard medical school
Talk Title: History of DNA Sequencing

Highlighted publications

Dou, Y., et al. (2018). “Detecting Somatic Mutations in Normal Cells.” Trends Genet 34(7): 545-557.

Ye, A. Y*., Dou, Y*., et al. (2018). “A model for postzygotic mosaicisms quantifies the allele fraction drift, mutation rate, and contribution to de novo mutations.” Genome Res.

Dou, Y., et al. (2017). “Postzygotic single-nucleotide mosaicisms contribute to the etiology of autism spectrum disorder and autistic traits and the origin of mutations.” Hum Mutat 38(8): 1002-1013.

Biosketch

Dr. Dou completed her PhD in Bioinformatics at Peking University, and has been working has a postdoc fellow in the department of biomedical informatics, Harvard medical school since 2017. Her research currently focuses on: 1. Development of new methods detecting somatic mutations in non-cancer tissues; 2. Explore of human embryo development by analyzing mosaic mutations in cell lineages.

02 Adam Yongxin Ye, Ph. D.

Postdoctoral Fellow, Boston Children’s Hospital / Harvard Medical School

Talk Title: Application of Next-Generation Sequencing

Highlighted Publications

Ye, AY*, Dou, Y*, Yang, X, Wang, S, Huang AY, and Wei L. (2018). A model for postzygotic mosaicisms quantifies the allele fraction drift, mutation rate, and contribution to de novo mutations. Genome Research. 28: 943-951

Huang, AY*, Zhang, Z*, Ye, AY*, Dou, Y*, Yan, L, Yang, X, Zhang, Y, and Wei, L (2017). MosaicHunter: accurate detection of postzygotic single-nucleotide mosaicism through next-generation sequencing of unpaired, trio, and paired samples. Nucleic Acids Research 45 (10): e76.

Zhou, W-Z*, Ye, AY*, Sun, Z-K*, Tian, HH, Pu, TZ, Wu, Y-Y, Wang, D-D, Zhao, M-Z, Lu, S-J, Yang, C-H,and Wei, L(2014). Statistical analysis of twenty years (1993 to 2012) of data from mainland China’s first intervention center for children with autism spectrum disorder. Molecular Autism 5:52.

Huang, AY*, Xu, X*, Ye, AY*, Wu, Q*, Yan, L, Zhao, B, Yang, X, He, Y, Wang, S, Zhang, Z, Gu, B, Zhao, H-Q, Wang, M, Gao, H, Gao, G, Zhao, Z, Yang, X, Wu, X, Zhang, Y, and Wei, L(2014). Postzygotic single-nucleotide mosaicisms in whole-genome sequences of clinically unremarkable individuals. Cell Research 24:1311–1327.

Ye, AY, Liu, Q-R, Li, C-Y, Zhao, M, and Qu, H (2014). Human Transporter Database: Comprehensive Knowledge and Discovery Tools in the Human Transporter Genes. PLOS ONE 9:e88883.

Ma, M*, Ye, AY*, Zheng, W, and Kong, L (2013). A Guide RNA Sequence Design Platformfor the CRISPR/Cas9 System for Model Organism Genomes. BioMed Research International 2013:1–4

Biosketch

Dr. Ye got his PhD degree with major in bioinformatics in Peking University in 2018. He applied biostatistic and bioinformatic methods in his previous research projects. He designed and implemented a Bayesian classifier in MosaicHunter, a bioinformatic tool which could successfully identify postzygotic single-nucleotide mosaicisms in next-generation sequencing data of noncancerous human tissue sample; and built a theoretical quantitative model of postzygotic mosaicisms based on validated mosaicisms.

Now, he is a Bioinformatics Postdoctoral Research Fellow in Prof. Frederick Alt’s lab, Program in Cellular and Molecular Medicine (PCMM), Boston Children’s Hospital / Harvard Medical School. He provides bioinformatic and biostatistic support to the lab, whose research interests are mostly in V(D)J recombination, somatic hypermutation and class switching recombination during B cell development, mainly based on high-throughput genome-wide translocation sequencing (HTGTS) and repertoire sequencing technology. He also has analyzed 16S rRNA sequencing data for metagenome, and Hi-C data for chromatin 3D strucuture.

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