2015 Fiscal Year Final Research Report
Flexible statistical analysis for huge and multiple data in life science
| Project/Area Number |
24700290
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Bioinformatics/Life informatics
|
|---|
| Research Institution | Obihiro University of Agriculture and Veterinary Medicine |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2012-04-01 – 2016-03-31
|
| Keywords | バイオインフォマティクス / オミックス / 獣医学 / 畜産学 |
|---|
| Outline of Final Research Achievements |
This study proposed flexible and high-performance statistical methods in bioinformatics and showed applications in medical, veterinary science and animal husbandry. Three objectives in this study were: A) constructing flexible statistical methods for multiple big data in life science (particularly, omics data), B) proposal of statistical methods and application to elucidate systems in animals and plants at molecular-, individual-, population-level, and C) constructing fast statistical methods. For A) and C), this study proposed fast hypothesis testing, high-performance statistical methods on each type of omics data. Their applications included finding diseases biomarkers. For B), we showed statistical applications in this field, particularly for dairy cows. Three types of focus in this study were 1) molecular level (milk composition, blood component, and each type of omics data), 2) individual level (medical records in cows, shape of crop), 3) population level (dairy herd etc).
|
| Free Research Field |
バイオインフォマティクス、統計学
|
