Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

What is Variation?01:14

What is Variation?

17.6K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
17.6K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.7K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.7K
Variation01:19

Variation

7.7K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
7.7K
Genomics02:02

Genomics

39.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.8K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.0K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.0K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

4.1K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Non-Parametric Ancestry Adjustment for Polygenic Scores.

medRxiv : the preprint server for health sciences·2026
Same author

The landscape of genomic and socioeconomic variables in colorectal cancer patients based on genetic ancestry.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Graph transformer for ancient ancestry inference.

bioRxiv : the preprint server for biology·2026
Same author

The diploid reference genome of a human embryonic stem cell line.

bioRxiv : the preprint server for biology·2026
Same author

Clinical genetic variation across Hispanic populations in the Mexican Biobank.

Nature medicine·2026
Same author

Analysis of a deeply-phenotyped familial hypercholesterolemia cohort from Mexico shows a role for both rare and common alleles across known dyslipidemia genes and reveals structural variation in a novel locus.

Human genomics·2025
Same journal

Complete sequencing of medaka genomes reveals the architecture of centromeric satellites, giant mobile elements, and sex chromosomes.

Genome research·2026
Same journal

Convergence and conflict among telomere specialized transposons across 60 million years of Drosophilid evolution.

Genome research·2026
Same journal

A unified analysis of cell type- and trajectory-associated pathways in single-cell data using Phoenix.

Genome research·2026
Same journal

Resf1 is required for proper placental development and configuration of trophoblast cell-specific heterochromatin.

Genome research·2026
Same journal

Telomere-driven replicative crisis is driven by large-scale changes in genomic architecture.

Genome research·2026
Same journal

Spatially informed reference-free cell-type deconvolution for spatial transcriptomics with SpatialCD.

Genome research·2026
查看所有相关文章

相关实验视频

Updated: Jan 22, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

23.9K

用于基因组变异分析的自编码器.

Margarita Geleta1,2,3, Daniel Mas Montserrat4, Xavier Giro-I-Nieto2

  • 1Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California 94305, USA; geleta@berkeley.edu.

Genome research
|January 20, 2026
PubMed
概括
此摘要是机器生成的。

使用变化自编码器 (VAE) 的深度学习有效地处理人口基因组学数据. 这些模型捕获了微小的基因结构,用于在多样化的人类和犬种群中进行解释,压缩和模拟.

更多相关视频

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
09:32

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

Published on: November 8, 2017

8.2K
Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets
11:19

Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets

Published on: July 7, 2010

15.0K

相关实验视频

Last Updated: Jan 22, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

23.9K
An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
09:32

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

Published on: November 8, 2017

8.2K
Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets
11:19

Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets

Published on: July 7, 2010

15.0K

科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 机器学习 机器学习

背景情况:

  • 生物库产生来自不同种群的大量高分辨率基因组数据.
  • 现有的算法工具很难准确地代表混合种群中的复杂遗传组成.

研究的目的:

  • 探索用于处理人口基因组数据的变异自编码器 (VAE).
  • 评估VAE用于基因组数据解释,压缩,分类和仿真.
  • 为了评估VAE的性能和没有祖先条件.

主要方法:

  • 将无监督深度学习 (VAE) 应用于全基因组数据集 (人类和犬类).
  • 使用单核酸多态 (SNP) 进行分析.
  • 评估了维度缩小,数据压缩和分类任务.

主要成果:

  • VAE有效地捕捉了细粒度的人口结构,并推断出潜在的遗传因素.
  • 学习的潜空间代表着不同的遗传集群,使维度减少和模拟成为可能.
  • 证明了VAE对基因型序列的无损压缩,在不同种群中具有不同的压缩比.
  • 展示了差异化的分类准确性,并分析了SNP数据与压缩和迁移的关系.

结论:

  • VAEs提供了一种强大的无监督方法来分析人口基因组学.
  • 该方法促进了细度基因结构检测,数据压缩和模拟.
  • 来自VAE的潜伏表示提供了对人口遗传学和历史迁移的见解.