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相关概念视频

Epistasis Analysis01:09

Epistasis Analysis

5.0K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Genomics02:02

Genomics

36.4K
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...
36.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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...
5.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
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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Structure of a Gene01:30

Structure of a Gene

12.6K
A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
12.6K
Genetic Screens02:46

Genetic Screens

5.0K
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.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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相关实验视频

Updated: Jul 13, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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精细化的基因组学:人工智能驱动的结构分析视角.

Yi Lou1, Zixin Deng2, Jiangtao Gao1

  • 1Key Laboratory of Biopesticide and Chemical Biology of Ministry of Education, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

Trends in plant science
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概括
此摘要是机器生成的。

像AlphaFold2这样的人工智能 (AI) 蛋白质预测模型可以根据结构分类除氨酶蛋白,克服功能基因组学传统3D结构分析的局限性.

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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相关实验视频

Last Updated: Jul 13, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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科学领域:

  • 生物化学 生物化学
  • 结构生物学 结构生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 仅从3D结构中解读蛋白质功能就会带来重大挑战.
  • 传统的蛋白质分类方法的范围和准确性可能受到限制.

研究的目的:

  • 探索人工智能 (AI) 在蛋白质分类中的实用性.
  • 使用基于AI的结构分析来预测和分类去氨酶蛋白.

主要方法:

  • 利用AlphaFold2,一个先进的AI蛋白质折叠预测模型.
  • 基于已识别的结构相似之处,预测蛋白质结构和分类脱氨酶蛋白.

主要成果:

  • 通过人工智能成功预测和分类了除氨酶蛋白.
  • 证明了AI通过结构相似性来识别功能关系的能力.

结论:

  • 人工智能,特别是像AlphaFold2这样的模型,为功能基因组学提供了一种强大的新方法.
  • 人工智能在促进蛋白质工程和功能分析方面具有重大潜力.