Bioinformatics for Evolutionary Analysis of Complex and Abundant Biological Data
| Project/Area Number |
21810005
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
ゲノム情報科学
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| Research Institution | The University of Tokyo |
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Principal Investigator |
IWASAKI Wataru The University of Tokyo, 大学院新領域創成科学研究科, 助教 (50545019)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥2,756,000 (Direct Cost: ¥2,120,000、Indirect Cost: ¥636,000)
Fiscal Year 2010: ¥1,313,000 (Direct Cost: ¥1,010,000、Indirect Cost: ¥303,000)
Fiscal Year 2009: ¥1,443,000 (Direct Cost: ¥1,110,000、Indirect Cost: ¥333,000)
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| Keywords | 車輪樹法 / 系統樹 / 進化 / NaviCluster / 可視化 / グラフクラスタリング / ネットワーク / 文献情報処理 / バイオインフォマティクス / 進化・系統 / ネットワーク生物学 / データ可視化 / 巡回セールスマン問題 / セントロイド / テキストマイニング |
|---|
| Research Abstract |
Abundant and complex biological data represented in graphs or natural languages are rapidly accumulating. In this research, we developed bioinformatics technologies to analyze those data while considering phylogenetic relationships. These technologies are the wheel tree method, a phylogenetic relationship representation method considering vague phylogenetic topologies ; NaviCluster, a tool for interactively investigating complex and large biological networks ; and a database for comprehensively connecting genes and phenotypes.
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Report
(3 results)
Research Products
(46 results)
