関連する実験動画

Updated: Feb 22, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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隠されたマルコフモデルを通してSARS-CoV-2の進化におけるエピスタティック相互作用の発見

Ayotomiwa Ezekiel Adeniyi1, Akshay Juyal1, Pavel Skums2

  • 1Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.

Journal of computational biology : a journal of computational molecular cell biology
|February 20, 2026
PubMed
まとめ

この研究では,SARS-CoV-2の進化におけるダイナミックなエピスタティック相互作用を追跡するために,新しい隠されたマルコフモデル (HMM) を導入し,ウイルスフィットネスの予測を改善し,早期の変種検出を可能にします. フレームワークは,アルファ,デルタ,オミクロンなどの変異種間の突然変異のリンクの明確な時間的なパターンを明らかにします.

キーワード:
SARS-CoV-2の進化についてエピスタシス (epistasis) とは隠されたマルコフモデル人口遺伝学 人口遺伝学

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