コメントへの返信 "最近獲得した規制機能のために,人間における豊富な浄化選択の証拠"
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Science (New York, N.Y.)
|May 11, 2013
まとめ
私たちは,ENCODE要素内の広範な系統固有の制約を確認するために,方法論を精錬しました. 私たちの発見は,制約された核酸の推定に対する参照選択の影響を強調しています.
科学分野:
- ゲノミクスゲノミクスとは
- 進化生物学の進化生物学について
- バイオインフォマティックス
背景:
- ゲノム進化を理解するには,機能的に制限された領域を特定する必要があります.
- ENCODEプロジェクトは,ヒトゲノムの多数の機能的要素をマッピングしてきました.
- 進化的制約を定量化するには,正確な方法論が不可欠です.
研究 の 目的:
- 系統特有の制約を評価するための以前に提案された方法論に修正を加え,拡張する.
- ENCODE要素内の重要な制約の初期結論を再評価し,支持する.
- 制約推定の基準データセットの選択による依存性を明確にする.
主な方法:
- グリーンとユーイングが提案した方法論的訂正を組み込み,拡張する.
- 分析のために特定の制約されたおよび中立のゲノム参照を使用します.
- ENCODE要素内の系統特有の制約を定量化する.
主要な成果:
- 改善された方法論は,広範な系統特有の制約の結論を支持します.
- 制約はENCODEの要素に非常に集中しています.
- 制約されたヌクレオチドの数は,制約された参照と中立参照の定義に敏感です.
結論:
- 洗練された方法論は,機能的なゲノム要素における系統特有の制約を堅牢に特定します.
- ENCODEの要素には,進化的な大きな制約がある.
- 参照データセットの慎重な選択は,ゲノム研究における正確な制約推定に不可欠です.
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