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Posts by Collection
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publications
Emergence and Persistent Dominance of SARS-CoV-2 Omicron BA.2.3.7 Variant, Taiwan
Published in Emerging Infectious Diseases, 2023
Since April 2022, waves of SARS-CoV-2 Omicron variant cases have surfaced in Taiwan and spread throughout the island. Using high-throughput sequencing of the SARS-CoV-2 genome, we analyzed 2,405 PCR-positive swab samples from 2,339 persons and identified the Omicron BA.2.3.7 variant as a major lineage within recent community outbreaks in Taiwan.
Recommended citation: Shao PL*, Tu HC*, Gong YN*, Shu HY, Kirby R, Hsu LY, Yeo HY, Kuo HY, Huang YC, Lin YF, Weng HY, Wu YL, Chen CC, Chen TW, Lee KM, Huang CG, Shih SR, Chen WJ, Wu CC, Yu CJ, Tsai SF. 2023. Emergence and Persistent Dominance of SARS-CoV-2 Omicron BA.2.3.7 Variant, Taiwan. Emerg Infect Dis 29:792-796. * co-first author https://wwwnc.cdc.gov/eid/article/29/4/22-1497_article
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Genomic Data Science, EMM111
graduate course, International Master Degree Program for Molecular Medicine in Emerging Viral Infections, 2023
Teaching objectives
Genomic data science is an interdisciplinary subject that applies data science and biostatistics to the field of genomics. This course is designed for students in virology or molecular biology related fields. It allows students to understand, analyze and interpret viral genome data in order to have skills of bioinformatic analysis and interdisciplinary Learning.
Deep Learning with Python, EMM112
graduate course, International Master Degree Program for Molecular Medicine in Emerging Viral Infections, 2023
Teaching objectives
This course trains students to have the concept of computational thinking and object-oriented programming. Taking viral and biomedical applications as examples, students will understand the fundamentals of machine and deep learning and the practice of model building.