Medical Sequence Classifier - a system for quick and accurate sequence-based diagnostics
Project/Area Number |
17H07123
|
Research Category |
Grant-in-Aid for Research Activity Start-up
|
Allocation Type | Single-year Grants |
Research Field |
Life / Health / Medical informatics
|
Research Institution | Tokai University |
Principal Investigator |
|
Project Period (FY) |
2017-08-25 – 2019-03-31
|
Project Status |
Completed (Fiscal Year 2018)
|
Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
Keywords | Metagenome / NGS sequencing / classification / diagnostics / DNA / sequence / metagenome / sequence analysis / NGS / metagenomics / medical metagenomics / 生体生命情報学 |
Outline of Final Research Achievements |
Rapid and accurate diagnostics of infectious disease pathogen is important for successful treatment outcome. In this project I developed a highly efficient sequence classifier system. This system can be applied to medical metagenomic sequence samples in order to detect pathogens contained in those samples. I also developed the GenomeSync database that is used by the classifier as a reference. My system for investigating medical metagenomes has shown utility in research studies, field trips and tests on medical samples. The results have been described in peer-reviewed literature. I expect that my classifier system will be widely adopted for investigating infectious diseases using next generation sequencing.
|
Academic Significance and Societal Importance of the Research Achievements |
Our society is increasingly threatened by pandemics and spread of drug-resistant pathogens. My sequence classifier will help in achieving rapid response to these threats, by providing fast and accurate sequence based diagnostics.
|
Report
(3 results)
Research Products
(19 results)
-
-
-
[Journal Article] Real-time diagnostic analysis of MinION-based metagenomic sequencing in clinical microbiology evaluation: a case report2019
Author(s)
Hiromasa Tanaka, Yoshiyuki Matsuo, So Nakagawa, Kenichiro Nishi, Akihisa Okamoto, Shinichi Kai, Teppei Iwai, Yoshiteru Tabata, Takeshi Tajima, Yuji Komatsu, Motohiko Satoh, Kirill Kryukov, Tadashi Imanishi, Kiichi Hirota
-
Journal Title
JA Clinical Reports
Volume: 5
Issue: 1
Pages: 24-24
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
-
-
[Journal Article] Detection of pathogenic bacteria in the blood from sepsis patients using 16S rRNA gene amplicon sequencing analysis.2018
Author(s)
Watanabe N, Kryukov K, Nakagawa S, Takeuchi JS, Takeshita M, Kirimura Y, Mitsuhashi S, Ishihara T, Aoki H, Inokuchi S, Imanishi T, Inoue S
-
Journal Title
PLoS One
Volume: 13
Issue: 8
Pages: e0202049-e0202049
DOI
NAID
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
-
-
-
-
-
-
-
-
-
-
-
-
-
-