| Project/Area Number |
23710235
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
System genome science
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| Research Institution | Osaka University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2012: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | Enhancer identification / Transcriptional regulatory network / Epigenetics / Computational genomics / Genetic algorithm / Support vector machine / Transcriptional regulatory module / エンハンサー同定 / 転写制御ネットワーク / エピジェネティクス / 計算ゲノミクス / 遺伝的アルゴリズム / サポートベクターマシン / 転写制御モジュール / エンハンサーの特定 / 転写調節ネットワーク / コンピュテーショナル・ゲノミクス |
|---|
| Research Abstract |
Development of the best computational method for enhancer detection, capable of identifying enhancers from ChIP-chip and ChIP-seq libraries with a better comparative performance than other published methods for enhancer prediction (Fernandez and Miranda-Saavedra, 2012).
Development of a novel method for the reconstruction of Transcriptional Regulatory Modules (TRMs) (Hutchins et al, 2013).
The above methods have provided new and fundamental insights into the STAT3 controlled anti-inflammatory response network (Hutchins et al, Blood, 2012; Hutchins et al, JAK-STAT, 2013).
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