Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Nam S Vo"'
Autor:
Duc Quang Le, Tien Anh Nguyen, Son Hoang Nguyen, Tam Thi Nguyen, Canh Hao Nguyen, Huong Thanh Phung, Tho Huu Ho, Nam S. Vo, Trang Nguyen, Hoang Anh Nguyen, Minh Duc Cao
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Pangenome inference is an indispensable step in bacterial genomics, yet its scalability poses a challenge due to the rapid growth of genomic collections. This paper presents PanTA, a software package designed for constructing pangenomes of l
Externí odkaz:
https://doaj.org/article/e0828885ef8d4eeea225cd9489228609
Autor:
Duc Quang Le, Tam Thi Nguyen, Canh Hao Nguyen, Tho Huu Ho, Nam S. Vo, Trang Nguyen, Hoang Anh Nguyen, Le Sy Vinh, Thanh Hai Dang, Minh Duc Cao, Son Hoang Nguyen
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Whole genome analysis for microbial genomics is critical to studying and monitoring antimicrobial resistance strains. The exponential growth of microbial sequencing data necessitates a fast and scalable computational pipeline to generate the
Externí odkaz:
https://doaj.org/article/c55dde5b0939434e803c2aea563400fa
Autor:
Duc Quang Le, Son Hoang Nguyen, Tam Thi Nguyen, Canh Hao Nguyen, Tho Huu Ho, Nam S. Vo, Trang Nguyen, Hoang Anh Nguyen, Minh Duc Cao
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract We have developed AMRViz, a toolkit for analyzing, visualizing, and managing bacterial genomics samples. The toolkit is bundled with the current best practice analysis pipeline allowing researchers to perform comprehensive analysis of a coll
Externí odkaz:
https://doaj.org/article/d9ee2209a9ce47a9a5fd324ef3c66e7d
Autor:
Van Hoan Do, Van Sang Nguyen, Son Hoang Nguyen, Duc Quang Le, Tam Thi Nguyen, Canh Hao Nguyen, Tho Huu Ho, Nam S. Vo, Trang Nguyen, Hoang Anh Nguyen, Minh Duc Cao
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110623- (2024)
Summary: Machine learning has the potential to be a powerful tool in the fight against antimicrobial resistance (AMR), a critical global health issue. Machine learning can identify resistance mechanisms from DNA sequence data without prior knowledge.
Externí odkaz:
https://doaj.org/article/ee0b497cebc544b495aed8a4c7ff436c
Autor:
Tham Hong Hoang, Duc Minh Vu, Giang Minh Vu, Thien Khac Nguyen, Nguyet Minh Do, Vinh Chi Duong, Thang Luong Pham, Mai Hoang Tran, Ly Thi Khanh Nguyen, Han Thi Tuong Han, Thu-Thuy Can, Thai Hong Pham, Tho Duc Pham, Thanh Hong Nguyen, Huy Phuoc Do, Nam S. Vo, Xuan-Hung Nguyen
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background Most skin-related traits have been studied in Caucasian genetic backgrounds. A comprehensive study on skin-associated genetic effects on underrepresented populations such as Vietnam is needed to fill the gaps in the field. Objecti
Externí odkaz:
https://doaj.org/article/4ae8b6ce3442427d9a18b38279808cbc
Autor:
Vinh Chi Duong, Giang Minh Vu, Thien Khac Nguyen, Hung Tran The Nguyen, Thang Luong Pham, Nam S. Vo, Tham Hong Hoang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Most current genotype imputation methods are reference-based, which posed several challenges to users, such as high computational costs and reference panel inaccessibility. Thus, deep learning models are expected to create reference-free imp
Externí odkaz:
https://doaj.org/article/93ba23d84388477c9e15d10a47902f97
Autor:
Huyen Thanh Thi Le, Trang Thu Hoang, Ngoc Anh Thi Nguyen, Sang Ngoc Nguyen, Ung Dinh Nguyen, Cuong Xuan Hoang, Nam S. Vo, Duc Quang Le, Son Hoang Nguyen, Minh Duc Cao, Tho Huu Ho
Publikováno v:
Antibiotics, Vol 13, Iss 9, p 830 (2024)
(1) Background: Pediatric urinary tract infections (UTIs) pose significant challenges due to drug-resistant Escherichia coli (E. coli) strains. This study utilizes whole-genome sequencing to analyze temporal trends in antibiotic resistance genes (ARG
Externí odkaz:
https://doaj.org/article/c92830bcdd4542fb9f6d9ee7e5439259
Autor:
Thien Khac Nguyen, Giang Minh Vu, Vinh Chi Duong, Thang Luong Pham, Nguyen Thanh Nguyen, Trang Thi Ha Tran, Mai Hoang Tran, Duong Thuy Nguyen, Nam S. Vo, Huong Thanh Phung, Tham Hong Hoang
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27043- (2024)
Despite the raised awareness of the role of pharmacogenomic (PGx) in personalized medicines for COVID-19, data for COVID-19 drugs is extremely scarce and not even a publication on this topic for post-COVID-19 medications to date. In the current study
Externí odkaz:
https://doaj.org/article/0147e8c32dce4b47a231ef4c225b569d
Autor:
Dat Thanh Nguyen, Trang T. H. Tran, Mai Hoang Tran, Khai Tran, Duy Pham, Nguyen Thuy Duong, Quan Nguyen, Nam S. Vo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Regardless of the overwhelming use of next-generation sequencing technologies, microarray-based genotyping combined with the imputation of untyped variants remains a cost-effective means to interrogate genetic variations across the human gen
Externí odkaz:
https://doaj.org/article/347781593dec4bb9a4a049540e160dcc
Autor:
Tham H. Hoang, Giang M. Vu, Mai H. Tran, Trang T. H. Tran, Quang D. Le, Khanh V. Tran, Tue T. Nguyen, Lan T. N. Nguyen, Thinh H. Tran, Van T. Ta, Nam S. Vo
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background A global pandemic has been declared for coronavirus disease 2019 (COVID-19), which has serious impacts on human health and healthcare systems in the affected areas, including Vietnam. None of the previous studies have a framework
Externí odkaz:
https://doaj.org/article/0b02a20b274440508aa84509cd33311a