Implementing Whole Genome Sequencing (WGS) in Clinical Practice: Advantages, Challenges, and Future Perspectives DOI Creative Commons
Petar Brlek, Luka Bulić, Matea Bračić

et al.

Cells, Journal Year: 2024, Volume and Issue: 13(6), P. 504 - 504

Published: March 13, 2024

The integration of whole genome sequencing (WGS) into all aspects modern medicine represents the next step in evolution healthcare. Using this technology, scientists and physicians can observe entire human comprehensively, generating a plethora new data. Modern computational analysis entails advanced algorithms for variant detection, as well complex models classification. Data science machine learning play crucial role processing interpretation results, using enormous databases statistics to discover support current genotype–phenotype correlations. In clinical practice, technology has greatly enabled development personalized medicine, approaching each patient individually accordance with their genetic biochemical profile. most propulsive areas include rare disease genomics, oncogenomics, pharmacogenomics, neonatal screening, infectious genomics. Another application WGS lies field multi-omics, working towards complete biomolecular Further technological technologies led birth third fourth-generation sequencing, which long-read single-cell nanopore sequencing. These technologies, alongside continued implementation medical research show great promise future medicine.

Language: Английский

Implementing Whole Genome Sequencing (WGS) in Clinical Practice: Advantages, Challenges, and Future Perspectives DOI Creative Commons
Petar Brlek, Luka Bulić, Matea Bračić

et al.

Cells, Journal Year: 2024, Volume and Issue: 13(6), P. 504 - 504

Published: March 13, 2024

The integration of whole genome sequencing (WGS) into all aspects modern medicine represents the next step in evolution healthcare. Using this technology, scientists and physicians can observe entire human comprehensively, generating a plethora new data. Modern computational analysis entails advanced algorithms for variant detection, as well complex models classification. Data science machine learning play crucial role processing interpretation results, using enormous databases statistics to discover support current genotype–phenotype correlations. In clinical practice, technology has greatly enabled development personalized medicine, approaching each patient individually accordance with their genetic biochemical profile. most propulsive areas include rare disease genomics, oncogenomics, pharmacogenomics, neonatal screening, infectious genomics. Another application WGS lies field multi-omics, working towards complete biomolecular Further technological technologies led birth third fourth-generation sequencing, which long-read single-cell nanopore sequencing. These technologies, alongside continued implementation medical research show great promise future medicine.

Language: Английский

Citations

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