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相关概念视频

Genetic Screens02:46

Genetic Screens

4.9K
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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Genomics02:02

Genomics

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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-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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Genetic Lingo01:11

Genetic Lingo

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Overview
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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,...
271
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...
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相关实验视频

Updated: Jun 17, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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基因数据探索和可视化通过智能交互式控制台.

Anindita Nath1, Savannah Mwesigwa1, Yulin Dai1

  • 1Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States.

Bioinformatics (Oxford, England)
|August 8, 2024
PubMed
概括

人工智能聊天框架GENEVIC简化了生物学家对遗传数据的分析. 它自动化了诸如变异优先级和文献搜索等任务,加速了生物医学发现.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

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相关实验视频

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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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.
  • 人工智能在医学中的应用

背景情况:

  • 遗传数据的指数增长给知识提取带来了挑战.
  • 有效分析和解释大规模的遗传信息对于生物医学研究至关重要.

研究的目的:

  • 推出GENEVIC,一个由人工智能驱动的聊天框架,旨在弥合遗传数据和生物医学知识发现之间的差距.
  • 为遗传数据分析和解释提供一个用户友好的,自动化工具.

主要方法:

  • 利用生成性AI (ChatGPT) 来自动分析,检索和可视化遗传信息.
  • 整合用于蛋白相互作用网络生成,基因组丰富和文献搜索 (PubMed,谷歌学者,arXiv) 的功能.
  • 使用精心策划的与阿尔茨海默氏症,精神分裂症和认知相关的遗传变异数据库进行试点测试,按多基因分数 (PGS) 目录效应权重排名.

主要成果:

  • 热内维克成功地自动化了复杂的遗传数据分析任务.
  • 该框架允许在复杂疾病中有效优先考虑遗传变异.
  • 用户友好的界面和符合HIPAA的基础设施确保了可访问性和安全性.

结论:

  • 基内维克作为生物学家的副驾驶员,简化了遗传研究.
  • 该原型通过启用知情的生物医学决策来推进遗传研究.
  • GENEVIC提高了从庞大的遗传数据集中发现宝贵知识的效率.