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Related Concept Videos

Multi-species Conserved Sequences02:51

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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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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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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The LISTEN principles for genetic sequence data governance and database engineering.

Colin J Carlson1, Monica Granados2, Alexandra Phelan3

  • 1Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA. colin.carlson@yale.edu.

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|July 28, 2025
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Summary
This summary is machine-generated.

Access and benefit-sharing (ABS) obligations for genetic data can be compatible with open science principles. Simple database design and governance principles, like LISTEN, ensure ABS implementation in open scientific databases.

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Area of Science:

  • Bioinformatics
  • Open Science
  • Legal Informatics

Background:

  • International legal agreements mandate access and benefit-sharing (ABS) for genetic sequence data.
  • Critiques suggest ABS conflicts with open science principles and poses implementation challenges for open databases.

Purpose of the Study:

  • To address critiques by demonstrating the compatibility of ABS with open science.
  • To propose practical solutions for integrating ABS into open scientific databases.

Main Methods:

  • Analysis of open science principles and ABS legal frameworks.
  • Development of a six-principle checklist (LISTEN: licensed, identified, supervised, transparent, enforced, non-exclusive) for database design and governance.
  • Exploration of synergy between LISTEN principles and FAIR data sharing principles.

Main Results:

  • Critiques of ABS incompatibility with open science stem from misinterpretations.
  • The LISTEN checklist provides a practical framework for implementing ABS in databases.
  • LISTEN principles can complement existing open science data-sharing frameworks like FAIR.

Conclusions:

  • ABS mechanisms can be effectively integrated into open science through thoughtful database design and governance.
  • The LISTEN principles offer a scalable solution for platforms engaging with ABS systems.
  • This approach reconciles legal obligations with the ethos of open scientific data sharing.