computational-biology-2018-posters-abstracts

4 / 14

Page 36
Notes:
conferenceseries.com
Volume 11 Journal of Proteomics & Bioinformatics Open Access Computational Biology 2018
September 05-06, 2018
September 05-06, 2018 Tokyo, Japan
International Conference on
Computational Biology and Bioinformatics
Yang-Zhan Huang et al., J Proteomics Bioinform 2018, Volume 11
DOI: 10.4172/0974-276X-C1-113
Identification of the septic pathogen in the plasma by next generation sequencing
Yang-Zhan Huang1, Li-Ching Hsieh1 and Wen-Cheng Chao2
1National Chung Hsing University, Taiwan
2Taichung Veterans General Hospital, Taiwan
S epsis is a leading cause of death worldwide and the most common cause of death in patients who admitted to intensive care
units. Sepsis is characterized by the life-threatening host immune response against invading microorganisms. However,
the accurate diagnosis of the microorganism for sepsis remains difficult given that the yield rate of blood culture, which
is currently the golden standard in sepsis, is merely 10-15%. Advances in genome sequencing technologies have led to a
drastically decreased cost of Next-Generation Sequencing (NGS) and a wide range of applications, including identification of
the circulating pathogenic nucleic acid in sepsis. Nowadays several methods have been developed to identify the pathogens
through NGS approaches, but a number of biases exist in bioinformatic analyses. In the present study, we used the plasma of
patients with sepsis at Taichung Veterans General Hospital (TCVGH) and aimed to identify circulating pathogenic nucleic
acid through the NGS approach. We used pathogen sequences assignment directly from filtered NGS reads by k-mer and this
approach is characterized by the fast-screening although high-memory is required. We found that pathogen-specific sequences
may be identified in short time consume under the low survive reads after filtering host reads.
Biography
Yang-Zhan Huang is currently pursuing his Masters in Bioinformatics and Metagenomics at Institute of Genomics and Bioinformatics, National Chung Hsing
University, Taiwan. He has worked for Applied Microbiology Laboratory and is interested in microorganism research.