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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

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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...
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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.
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Related Experiment Video

Updated: Jul 25, 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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Post-identifiability in changing sociotechnological genomic data environments.

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
Summary
This summary is machine-generated.

Genomic data identifiability presents complex challenges beyond individual privacy. The HeLa genome case reveals the need for a new concept, "post-identifiability," to understand evolving genomic data risks.

Keywords:
Genomic identifiabilityHenrietta LacksInfrastructuresPost-identifiabilityPostgenomicsPrivacy

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Area of Science:

  • Biomedical research
  • Genomic data science
  • Sociotechnology

Background:

  • Biomedical research data practices often assume normative privacy standards and require 'ethics work.'
  • The increasing datafication of research, particularly with genomic data, introduces new temporal and spatial dimensions to identifiability.
  • Existing frameworks struggle to address the complex nature of identifiability in the postgenomic era.

Purpose of the Study:

  • To analyze genomic identifiability as a data issue using the controversial HeLa cell line genome publication.
  • To explore the implications of big data, diverse genomic applications (biomedical, recreational, research), and sociotechnical shifts on identifiability.
  • To propose a new conceptualization, 'post-identifiability,' to address contemporary genomic data challenges.

Main Methods:

  • Case study analysis of the HeLa cell line genome publication.
  • Examination of sociotechnological and data environment developments (big data, genomics).
  • Conceptual analysis of identifiability in the postgenomic era.

Main Results:

  • Genomic identifiability risks are not unique to the HeLa controversy but represent a systematic data issue.
  • The HeLa case exemplifies how past assumptions and future possibilities converge in genomic identifiability.
  • The concept of 'post-identifiability' captures the sociotechnological situation of genomic identifiability.

Conclusions:

  • A new conceptualization of 'post-identifiability' is necessary to understand genomic data risks.
  • Kinship, temporality, and openness require renegotiation in light of evolving understandings of genomic data identifiability and status.
  • The study highlights the need for updated frameworks to manage privacy and ethical considerations in genomic research.