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関連する概念動画

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.1K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.1K
Conserved Binding Sites01:49

Conserved Binding Sites

5.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
5.2K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.9K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.3K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
8.3K
Phylogenetic Trees03:21

Phylogenetic Trees

50.3K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Phylogeny01:23

Phylogeny

63.3K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
63.3K

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Updated: Feb 24, 2026

A Practical Guide to Phylogenetics for Nonexperts
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A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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稀少な学習を通じて,系統遺伝学的に有益な配列部位を効率的に特定する.

Carlos G Schrago1

  • 1Department of Genetics, Federal University of Rio de Janeiro, RJ, Brazil.

Molecular phylogenetics and evolution
|February 22, 2026
PubMed
まとめ

私たちは,精密な進化樹の再建のための遺伝データの中での重要な部位を特定するために,散らばった学習を用いた新しい方法を開発しました. このアプローチは,系統遺伝学的に有益なサイトを効率的に特定し,系統遺伝学分析を改善します.

科学分野:

  • 系統遺伝学と進化生物学について
  • コンピュータ生物学 コンピュータ生物学
  • ゲノミクスゲノミクスとは

背景:

  • 正確な系統樹の再建は,複数の配列の並び方における系統遺伝学的に情報的なサイトを特定することに依存しています.
  • 現在の方法は,事前に定義されたトポロジーやヒューリスティックに依存しており,その適用性と解釈性を制限しています.

研究 の 目的:

  • サイトサイズの系統遺伝情報を定量化するためのトポロジーアグノスティックな枠組みを開発する.
  • 散らばった学習を使用して,系統遺伝信号にとって重要なサイトの最小のサブセットを識別する.

主な方法:

  • ラッソ (最小絶対縮小と選択演算子) の回帰による稀少学習を採用した.
  • ランダムなトポロジーにおける木の確率の予測者としてのモデル化されたサイトログ-可能性.
  • シミュレートされたおよび経験的な哺乳類のデータセットを使用して検証されました.

主要な成果:

  • ラッソで選択されたサイトは,完全なアライナメントの樹木トポロジーとほぼ同一の樹木トポロジーを生成しました.
  • エントロピーベースのプロキシは,計算効率のためにラッソ結果を効果的に近似した.
  • 系統遺伝学的に情報的なサイトの最小限のサブセットの識別が実証されました.
キーワード:
アライナメントのトリミングインデルス (Indels) とは,インデルス (Indels) とは,インデルのことです.ラッソ回帰のラッソ回帰とはマーカー選択 マーカーの選択系統遺伝学的な情報性が高い.スパースな学習.

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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An Integrated Approach for Microprotein Identification and Sequence Analysis
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An Integrated Approach for Microprotein Identification and Sequence Analysis

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関連する実験動画

Last Updated: Feb 24, 2026

A Practical Guide to Phylogenetics for Nonexperts
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A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

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An Integrated Approach for Microprotein Identification and Sequence Analysis
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An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

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結論:

  • スパース・ラーニングは,系統遺伝データを評価し,最適化するための原則に基づいた,スケーラブルで実用的な方法を提供します.
  • 開発されたフレームワークは,系統遺伝学的に情報的なサイトのための客観的なメトリックを提供します.
  • このアプローチは,系統遺伝学分析の効率と精度を高めます.