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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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...
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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.
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
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深度注释:一种基于深度学习的新型可解释的基因组选择模型,集成了全面的功能注释

Wenlong Ma1,2, Weigang Zheng1,2,3, Shenghua Qin1,2

  • 1State Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.

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|August 28, 2025
PubMed
概括
此摘要是机器生成的。

深度注释是一种新的深度学习模型,通过整合多组学数据来增强基因组选择,从而更好地预测表型. 这种可解释的方法提高了准确性,并确定了畜牧业的因果性SNP.

关键词:
因果性的SNP深度学习基因组选择中级分子表型可解释性多组学功能注释

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科学领域:

  • 农业科学
  • 生物信息学
  • 遗传学

背景情况:

  • 基因组选择使用基因组信息加速了牲畜特征的改善.
  • 多基因组学数据提供了通过生物知识增强基因组选择的潜力.
  • 在基因组选择中使用多组学数据准确的表型预测仍在发展.

研究的目的:

  • 开发DeepAnnotation,一个可解释的深度学习模型用于表型预测.
  • 将多组学功能注释集成到基因组选择的深度学习框架中.
  • 提高预测牲畜经济重要特征的准确性和效率.

主要方法:

  • 开发了DeepAnnotation,这是一个深度学习模型,将多组学注释与顺序网络层对齐.
  • 模拟了基因型到表型级联从 cis-regulatory 元素到基因,模块和特征.
  • 对七种经典基因组选择模型进行模型性能评估.

主要成果:

  • 与七种经典模型相比,DeepAnnotation的预测准确度显著提高 (增长6.4%120.0%).
  • 在预测三种猪肉生产特征 (瘦肉百分比,腰部肌肉深度,背部脂肪厚度) 中实现了高计算效率.
  • 能够识别潜在的因果单核酸多态 (SNP) 和它们的分子机制.

结论:

  • 深度注释是一个开源的,可解释的深度学习工具,用于基因组选择中的表型预测.
  • 该模型有效地利用多经济学功能注释进行增强的预测.
  • 为畜牧养殖和遗传学领域的研究人员和从业人员提供了宝贵的资源.