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• W2038992015 abstract "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." @default.
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• W2038992015 date "2014-11-01" @default.
• W2038992015 modified "2023-09-22" @default.
• W2038992015 title "Drug resistance gene identification algorithm for next-generation sequencing data" @default.
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• W2038992015 doi "https://doi.org/10.1109/bibm.2014.6999381" @default.
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