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Econometric Views (EViews)01:29

Econometric Views (EViews)

609
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
609
Stratified Sampling Method01:16

Stratified Sampling Method

15.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

641
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
641
Strain-Energy Density01:20

Strain-Energy Density

947
Understanding the strain energy density in materials under axial load is crucial for evaluating their mechanical behavior and durability. When a rod is subjected to such a load, it elongates and stores energy, known as strain energy, as potential energy within the material. This energy is measured in terms of energy per unit volume.
In the elastic region of a material, the relationship between the stress and the strain is linear and follows Hooke's Law. The strain energy density in this region...
947
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

527
As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
527
Strain and Elastic Modulus01:15

Strain and Elastic Modulus

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The quantity that describes the deformation of a body under stress is known as strain. Strain is given as a fractional change in either length, volume, or geometry under tensile, volume (also known as bulk), or shear stress, respectively, and is a dimensionless quantity. The strain experienced by a body under tensile or compressive stress is called tensile or compressive strain, respectively. In contrast, the strain experienced under bulk stress and shear stress is known as volume and shear...
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Updated: Feb 17, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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pygenstrat: EIGENSTRAT データ処理のための Python パッケージ

Dilek Koptekin1,2

  • 1Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.

Bioinformatics advances
|February 16, 2026
PubMed
まとめ

pygenstratは,EIGENSTRAT形式の古代DNAデータを処理するための新しいPythonパッケージです. 効率的なフィルタリング,サブセット,変換を提供し,メモリ使用量と大規模なデータセットの処理時間を大幅に削減します.

科学分野:

  • 人口遺伝学 人口遺伝学
  • バイオインフォマティックス
  • コンピュータ生物学 コンピュータ生物学

背景:

  • 古代DNAの研究は,集団遺伝的分析のためにアイゼンストラトの遺伝子型フォーマットを使用しています.
  • EIGENSTRATのデータを処理するためのソフトウェアは限られているため,研究者は課題に直面しています.

研究 の 目的:

  • 総合的なEIGENSTRATデータ処理のために設計されたPythonパッケージであるpygenstratを紹介します.
  • 古代DNAデータセットのフィルタリング,サブセット,変換のための効率的なツールを提供します.

主な方法:

  • pygenstratをメモリ効率の良い,断片化された処理アルゴリズムを備えたコマンドラインインタフェースとして開発しました.
  • ファイルの更新,データセットのサブセット,MAFおよび欠落によるフィルタリング,擬似ハプロイド化,およびアレル極化のための実装された機能.
  • EIGENSTRATとANCESTRYMAPのフォーマット間の変換が有効になりました.

主要な成果:

  • ベンチマーキングでは,convertf.のような既存のツールと比較して,2×-15×のスピードアップと90%~95%のメモリ削減が実証されました.
  • pygenstratは標準的な操作に相当する出力を生成し,データの完全性を保証します.

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  • このパッケージは,再現可能な処理を容易にし,古代のDNAワークフローの処理時間を短縮します.
  • 結論:

    • pygenstratは,EIGENSTRAT形式で大規模な古代DNAデータセットを処理するための強力でメモリ効率の高いソリューションを提供します.
    • そのモジュール型の設計は,カスタムパイプラインと将来の拡張に統合することを可能にします.
    • オープンソースの利用可能性は,フィールドでのアクセシビリティと共同開発を促進します.