ポストゲノム時代のタンパク質の機能
D Eisenberg1, E M Marcotte, I Xenarios
1Molecular Biology Institute and UCLA-DOE Laboratory of Structural Biology and Molecular Medicine, University of California at Los Angeles, 90095-1570, USA. david@mbi.ucla.edu
Nature
|June 24, 2000
まとめ
機能的ゲノミクスは,膨大なゲノムデータを生物学的知識に変換することを目的としています. このフィールドでは,配列およびメッセンジャーRNA発現データを意味のある洞察に合成する方法について説明します.
科学分野:
- ゲノミクスゲノミクスとは
- 分子生物学は分子生物学である.
- バイオインフォマティックス
背景:
- 生物学的研究は,大量にゲノムおよびメッセンジャーRNA (mRNA) 発現データを生成しています.
- 課題は,この大量のデータを,実行可能な科学的知識に変換することです.
- 現在のデータ処理方法は,多様な生物学的情報を効果的に合成するのに苦労しています.
研究 の 目的:
- 機能的ゲノミクスの新興分野を探求する.
- 広範なゲノムおよび発現データから意味のある知識を導き出す方法についての重要な問題に取り組むために.
- 機能的ゲノミクスによって生み出される知識の潜在的形態と応用を定義する.
主な方法:
- ゲノムデータの生成における現在の動向の分析.
- 高通量表現プロファイリング技術 (例えば,マイクロアレイ) のレビュー.
- 生物学における知識合成のための概念的枠組みの開発.
主要な成果:
- 生物学におけるデータ生成と知識獲得の間の大きなギャップを特定しました.
- 複雑な生物学的データセットを統合・解釈するための新しいアプローチの必要性を強調した.
- この課題に取り組むための重要な分野として機能的ゲノミクスを確立しました.
結論:
- 機能的ゲノミクスは,大規模な生物学的データを生物学的理解に変換するための経路を提供します.
- ゲノムと発現データの効果的な合成は,生物学的発見を前進させるために不可欠です.
- この分野は,生物学的知識の生成と利用の方法を再構築することを約束しています.
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