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ARGs-OAP v3.0:Antibiotic-Resistance Gene Database Curation and Analysis Pipeline Optimization 被引量:4
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作者 Xiaole Yin Xiawan Zheng +3 位作者 Liguan Li an-ni zhang Xiao-Tao Jiang Tong zhang 《Engineering》 SCIE EI CAS CSCD 2023年第8期234-241,共8页
Antibiotic resistance,which is encoded by antibiotic-resistance genes(ARGs),has proliferated to become a growing threat to public health around the world.With technical advances,especially in the popularization of met... Antibiotic resistance,which is encoded by antibiotic-resistance genes(ARGs),has proliferated to become a growing threat to public health around the world.With technical advances,especially in the popularization of metagenomic sequencing,scientists have gained the ability to decipher the profiles of ARGs in diverse samples with high accuracy at an accelerated speed.To analyze thousands of ARGs in a highthroughput way,standardized and integrated pipelines are needed.The new version(v3.0)of the widely used ARGs online analysis pipeline(ARGs-OAP)has made significant improvements to both the reference database-the structured ARG(SARG)database-and the integrated analysis pipeline.SARG has been enhanced with sequence curation to improve annotation reliability,incorporate emerging resistance genotypes,and determine rigorous mechanism classification.The database has been further organized and visualized online in the format of a tree-like structure with a dictionary.It has also been divided into sub-databases for different application scenarios.In addition,the ARGs-OAP has been improved with adjusted quantification methods,simplified tool implementation,and multiple functions with userdefined reference databases.Moreover,the online platform now provides a diverse biostatistical analysis workflow with visualization packages for the efficient interpretation of ARG profiles.The ARGs-OAP v3.0 with an improved database and analysis pipeline will benefit academia,governmental management,and consultation regarding risk assessment of the environmental prevalence of ARGs. 展开更多
关键词 SARG database ARGs-OAP Antibiotic-resistance genes Environmental metagenome Quantification
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Social demographic factors and leisure time physical activity influencing the self-rated health and happiness of Chinese people
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作者 Cheng-Xiang Liu an-ni zhang +2 位作者 Hai-Yan Jiang Ling Wang Hui Xie 《TMR Integrative Nursing》 2019年第5期173-180,共8页
Background and aims:The holistic definition of health is not merely the absence of disease or infirmity,but a state of complete physical,mental,and social well-being.However,related research on the influencing factor ... Background and aims:The holistic definition of health is not merely the absence of disease or infirmity,but a state of complete physical,mental,and social well-being.However,related research on the influencing factor of self-rated health and happiness have generally remained separate.Therefore,this study aimed to 1)find individual level determinants of the two facets of health;and 2)investigate the covariance of the two facets of health within individual levels.Methods:Multivariate multilevel analysis of self-rated health and happiness at level 1,were nested within 10,968 people at level 2.Data were obtained from the 2015 Chinese General Social Survey.Results:Lower happiness and self-rated health were found in 1)females;2)the elderly;3)people with a lower educational level;4)people who were presently single;5)people with a lower self-rated economic status;6)people who resided in urban areas;and 7)people with sedentary lifestyles as compared to those in other categories of the same variable.After adjusting the related individual level determinants,the correlation coefficient of two facets of health at the individual level is 0.19,which indicates that no robust covariance was observed.Conclusions:The current study indicates the existence of disparity in the subjective physical and psychological dimensions of health among the elderly in China.Our findings emphasize the importance of paying attention to different aspects of health simultaneously in investigations and the benefits of leisure time activities. 展开更多
关键词 Older people Self-rated health Subjective well-being Multivariate multilevel model
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