Drug Resistance Gene Identification Algorithm for Next-Generation Sequencing Data

被引：0
|
作者：
Hua, Guan-Jie [1 ]
Hung, Che-Lun [2 ]
Tang, Chuan Yi [1 ]
Zheng, Huiru [3 ]
机构：
[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30043, Taiwan
[2] Providence Univ, Dept Comp Sci & Commun Engn, Taichung, Taiwan
[3] Univ Ulster, Sch Comp & Math, Newtownabbey, Antrim, North Ireland
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | 2014年
关键词：
Drug Resistance; Integron; Metagenomics; Next Generation Sequencing; Assembly; INTEGRON DNA INTEGRASE; ACINETOBACTER-BAUMANNII; RECOMBINATION SITES; MICROBIAL COMMUNITIES; GENOMIC ANALYSIS; CASSETTES; METAGENOMICS; EVOLUTION; RESOURCE; ELEMENT;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In the 21st century, antibiotic resistance has become a crucial and growing phenomenon in contemporary medicine. Multidrug resistant leads that antibiotics cannot be used to treat infections. In this paper, we propose a novel and efficient method to identify drug resistance genes from raw reads produced by next generation sequencing technology for metagenomes. The experimental results show that the proposed method is able to identify the resistance genes of Acinetobacter baumannii, TYTH-1.
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页数：5
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