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Evolutionary Relationships through Genome Comparisons02:54

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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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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.
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ClinGen API platform for classification of human genetic variants.

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The Clinical Genome Resource (ClinGen) uses API-based microservices to share genetic variation data. This accelerates knowledge growth and enables AI-ready applications for variant classification.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • The Clinical Genome Resource (ClinGen) aims to standardize genomic data.
  • Disseminating knowledge about human genetic variation is crucial for research and clinical applications.

Purpose of the Study:

  • To describe how ClinGen's API-based microservices enhance the growth and dissemination of knowledge on human genetic variation.
  • To highlight ClinGen's role in establishing a foundation for advanced software and AI systems.

Main Methods:

  • Utilizing application programming interface (API)-based microservices.
  • Exposing variant data with findable, accessible, interoperable, reusable, and AI-ready (FAIR) principles.

Main Results:

  • Accelerated growth and dissemination of knowledge regarding human genetic variation.
  • Established a foundation for next-generation software applications and AI systems.
  • Facilitated variant classification workflows through accessible data.

Conclusions:

  • ClinGen's microservices architecture effectively promotes knowledge sharing in human genetics.
  • The FAIR data principles applied by ClinGen are essential for advancing genomic research and clinical applications.
  • ClinGen's approach supports the development of sophisticated tools for genetic variant analysis.