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Related Concept Videos

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 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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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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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Next-generation Sequencing03:00

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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.
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Related Experiment Video

Updated: Dec 29, 2025

Microbial Communities in Nature and Laboratory - Interview
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User-focused data sharing agreements: a foundation for the genomic future.

Carolyn Petersen1

  • 1Division of Biomedical Statistics and Informatics, Global Business Solutions, Mayo Clinic, Rochester, Minnesota, USA.

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|February 7, 2020
PubMed
Summary
This summary is machine-generated.

Clear data sharing agreements are essential for genomic data resources. Utilizing user-centered design and flexible informed consent models promotes data sharing while protecting privacy.

Keywords:
Information disseminationdata sharinggenetic testinggenomicstissue donors

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Science

Background:

  • Genomic datasets require robust data sharing agreements for their establishment and maintenance.
  • Optimizing genomic data resources necessitates a user-centric approach, considering system design, user objectives, and environmental factors.
  • Identifying fundamental values and potential barriers is crucial for successful data sharing initiatives.

Purpose of the Study:

  • To outline the critical components of effective data sharing agreements for genomic datasets.
  • To explore how user perspectives can inform the design of data sharing agreements.
  • To identify strategies for facilitating data sharing while protecting participant privacy and data integrity.

Main Methods:

  • Review of user interests and concerns to inform agreement design.
  • Exploration of nontraditional informed consent models (abbreviated, electronic, dynamic consent).
  • Emphasis on transparency, cultural accommodation, and identification of shared needs in agreement development.

Main Results:

  • Well-defined data sharing agreements are fundamental to the success of genomic data resources.
  • User-centered design principles and flexible consent mechanisms can enhance data accessibility and participant trust.
  • Transparency and cultural sensitivity are key to building sustainable data sharing partnerships.

Conclusions:

  • Effective data sharing agreements require a clear understanding of user needs and responsibilities.
  • Nontraditional informed consent approaches can balance data accessibility with privacy protection.
  • Building trust through transparency and cultural accommodation is vital for long-term genomic data sharing.