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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Prediction Intervals01:03

Prediction Intervals

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

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A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
327
Genetic Variation01:25

Genetic Variation

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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,...
286

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相关实验视频

Updated: Jul 5, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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基因绘图:一种自动编码框架,用于从SNP标记器预测图像.

Federico Jurado-Ruiz1, David Rousseau2, Juan A Botía3

  • 1Center for Research in Agricultural Genomics (CRAG), 08193 Barcelona, Cerdanyola, Spain.

Plant phenomics (Washington, D.C.)
|January 19, 2024
PubMed
概括

基因绘图 (GenoDrawing) 是一种新的自动编码框架,可以从基因组数据中预测果图像. 该工具有助于了解植物特征,并通过分析单核酸多态 (SNP) 来获益于果树育种.

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科学领域:

  • 植物基因组学和生物信息学
  • 机器学习在农业中的应用.
  • 高通量表型化 (High-throughput phenotyping) 是一种高通量表型化方法.

背景情况:

  • 基因组测序为植物分析提供了大量的基因型数据.
  • 基因组选择和神经网络 (NN) 预测复杂的特征.
  • 自动编码器是植物表型化中无监督特征提取的有效NN模型.

研究的目的:

  • 介绍GenoDrawing,这是一个自动编码框架,用于从单核酸多态 (SNP) 数据中预测和检索果图像.
  • 评估基因绘图对于难以定义的特征预测的实用性.
  • 探索SNP选择对图像预测准确性的影响.

主要方法:

  • 开发了一种名为GenoDrawing的新型自动编码框架.
  • 使用低深度SNP数组进行果图像预测.
  • 在与形状相关的SNP数据集上训练和评估模型.

主要成果:

  • 基因绘图成功地从SNP数据中预测了果图像,证明了对小数据集的熟练使用.
  • 与视觉特征相关的SNP显著影响生成的图像质量,与生物期望保持一致.
  • 当不相关的SNP被纳入更简单的NN架构时,性能下降.

结论:

  • 基因绘图为果树表型化中的基因组预测提供了一个实用的框架,特别是对于较小的育种公司.
  • 该研究强调了为准确的图像预测选择相关SNP的重要性.
  • 进一步的研究应侧重于先进的模型和平衡的数据集,以改善基因组图像预测的结果.