2018 Fiscal Year Final Research Report
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
|
| Keywords | Metagenome / NGS sequencing / classification / diagnostics / DNA / sequence |
|---|
| 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.
|
| Free Research Field |
Bioinformatics
|
| 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.
|
