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Genomics02:02

Genomics

36.5K
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...
36.5K
Next-generation Sequencing03:00

Next-generation Sequencing

91.6K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
91.6K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

55
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
55
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.6K
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...
13.6K
What is Population Genetics?01:25

What is Population Genetics?

58.4K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
58.4K

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Updated: Jul 25, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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

Published on: December 7, 2021

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在不断变化的社会技术基因组数据环境中,后鉴定性.

Kaya Akyüz1,2, Melanie Goisauf1,2, Gauthier Chassang3,4

  • 1Department of Science and Technology Studies, University of Vienna, Universitätsstraße 7/Stiege II/6, Stock (NIG), 1010 Vienna, Austria.

BioSocieties
|June 26, 2023
PubMed
概括

基因组数据的可识别性带来了超越个人隐私的复杂挑战. 赫拉基因组案例揭示了需要一个新的概念",后鉴定性",以了解不断变化的基因组数据风险.

关键词:
基因组识别能力 基因组识别能力亨丽埃塔缺乏的基础设施 基础设施 基础设施可识别后的时间.后遗传学是后遗传学.隐私 隐私 隐私 隐私 隐私 隐私

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相关实验视频

Last Updated: Jul 25, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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科学领域:

  • 生物医学研究的研究.
  • 基因组数据科学是基因组数据科学.
  • 社会技术社会技术.

背景情况:

  • 生物医学研究数据实践往往假定规范性隐私标准,并要求"道德工作".
  • 研究的日益增长的数据化,特别是基因组数据,为识别带来了新的时间和空间维度.
  • 现有的框架努力解决在后基因组时代识别的复杂性质.

研究的目的:

  • 通过使用有争议的HeLa细胞系基因组出版物,分析基因组鉴定性作为数据问题.
  • 探索大数据,多种基因组应用 (生物医学,娱乐,研究) 和社会技术转变对识别能力的影响.
  • 提出一种新的概念,即"后识别性",以应对当代基因组数据的挑战.

主要方法:

  • 对HeLa细胞系基因组出版物的案例研究分析.
  • 检查社会技术和数据环境的发展 (大数据,基因组学).
  • 在后基因组时代对可识别性的概念分析.

主要成果:

  • 基因组识别风险并不仅仅是HeLa争议,而是代表了一个系统的数据问题.
  • 赫拉案例说明了过去的假设和未来的可能性如何融合到基因组识别中.
  • "后鉴定性"的概念捕捉了基因组鉴定性的社会技术情况.

结论:

  • 为了理解基因组数据的风险,需要对"后鉴定性"进行新的概念化.
  • 亲属关系,暂时性和开放性需要根据基因组数据识别和地位的不断变化的理解重新谈判.
  • 该研究强调需要更新框架来管理基因组研究中的隐私和伦理考虑.