Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Genetic Variation01:25

Genetic Variation

336
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
336
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K
Multiple Allele Traits01:49

Multiple Allele Traits

34.4K
The Concept of Multiple Allelism
34.4K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.8K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.8K
Incomplete Dominance01:43

Incomplete Dominance

23.0K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
23.0K
Genetics of Speciation02:16

Genetics of Speciation

19.4K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
19.4K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

The Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026
Same author

Fine-mapping candidate neuropsychiatric regulatory variants using cell type-aware comparative genomics.

bioRxiv : the preprint server for biology·2026
Same author

Challenges in predicting chromatin accessibility differences between species.

NAR genomics and bioinformatics·2026
Same author

RERconverge Update: Runtime Reduction and Analysis Function Overhaul.

bioRxiv : the preprint server for biology·2026
Same author

An interpretable machine learning framework for dog breed inference and ancestry decomposition.

bioRxiv : the preprint server for biology·2026
Same author

Impact of preanalytical factors on liquid biopsy in the canine cancer model.

Communications medicine·2026

関連する実験動画

Updated: Aug 1, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

30

機械学習を用いて,哺乳類のエンハンサー遺伝子の多様性を複雑なフェノタイプと関連付けること

Irene M Kaplow1,2, Alyssa J Lawler2,3, Daniel E Schäffer1

  • 1Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.

Science (New York, N.Y.)
|April 27, 2023
PubMed
まとめ
この要約は機械生成です。

科学者は新しいツール TACITを開発し 遺伝子増強剤を 種のフェノタイプと結びつけました これは 遺伝子の調節が 進化の違いを 左右する仕組みを理解するのに役立ちます 例えば脳の大きさの変化です

さらに関連する動画

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
09:21

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Published on: July 7, 2023

1.6K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.1K

関連する実験動画

Last Updated: Aug 1, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

30
Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
09:21

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Published on: July 7, 2023

1.6K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.1K

科学分野:

  • ゲノミクス
  • 進化生物学
  • バイオ情報学

背景:

  • 種間の現象的多様性は,タンパク質をコードする遺伝子によってのみ説明されるものではありません.
  • 増強剤のような遺伝子調節要素は 遺伝子発現と表型進化において重要な役割を果たします
  • 組織特異的な活性と変化する配列保存により,強化剤-フェノタイプ関連性を特定することは困難である.

研究 の 目的:

  • 候補増強剤と種別フェノタイプを関連付けるための計算ツールキットを開発する.
  • 強化剤の機能を予測するための組織特有の機械学習モデルを活用する.
  • 神経学的現象型と脳サイズ進化における強化剤の役割を調査する.

主な方法:

  • Tissue-Aware 保存推論ツールキット (TACIT) の開発
  • 増強剤の活性性を予測するために組織特有のデータで機械学習モデルを訓練する.
  • 種の神経現象型とモーター皮質とパルバルブミン陽性インターニューロン強化剤を関連付けるためにTACITを適用する.

主要な成果:

  • 数十の有意な増強剤-フェノタイプ関連性を特定した.
  • 小頭症と大頭症に関与する遺伝子に関連した脳サイズ関連増強剤の発見
  • 収束的な進化を促す規制要素を明らかにするTacitの能力の実証

結論:

  • TACITは,種間のフェノタイプと強化剤を結びつけるための堅固な枠組みを提供します.
  • このツールキットは,複雑な特徴の進化における遺伝子調節の研究を容易にする.
  • このアプローチは,並べられたゲノムを持つ多様な現象型と種に適用できます.