Drug resistance gene identification algorithm for next-generation sequencing data

Guan Jie Hua, Chuan Yi Tang, Che Lun Hung, Huiru Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
EditorsHuiru Zheng, Xiaohua Tony Hu, Daniel Berrar, Yadong Wang, Werner Dubitzky, Jin-Kao Hao, Kwang-Hyun Cho, David Gilbert
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages17-21
Number of pages5
ISBN (Electronic)9781479956692
DOIs
StatePublished - 29 Dec 2014
Event2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, United Kingdom
Duration: 2 Nov 20145 Nov 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Conference

Conference2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
Country/TerritoryUnited Kingdom
CityBelfast
Period2/11/145/11/14

Keywords

  • Assembly
  • Drug Resistance
  • Integron
  • Metagenomics
  • Next Generation Sequencing

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