Whole genome sequencing
(Redirected from Genome sequencing)
Whole genome sequencing[edit | edit source]
Whole genome sequencing (WGS) is a comprehensive method for analyzing entire genomes. Genomic information has been instrumental in identifying inherited disorders, characterizing the mutations that drive cancer progression, and tracking disease outbreaks. Rapidly dropping sequencing costs and the development of new technologies have given rise to the field of genomics, which broadly aims to identify how genes shape our health and how we can use that information to improve public health and medicine.
Overview[edit | edit source]
Whole genome sequencing involves breaking down the genome into smaller, more manageable pieces, sequencing these pieces, and then reassembling the sequence to generate a representation of the original genome. This process is complex and involves several steps, including DNA extraction, DNA fragmentation, DNA sequencing, and genome assembly.
Applications[edit | edit source]
Whole genome sequencing has a wide range of applications, including:
- Genetic diagnosis: WGS can be used to identify genetic disorders that were previously un-diagnosable.
- Cancer genomics: WGS is used to identify mutations in tumors to help understand cancer progression and identify potential therapeutic targets.
- Microbial genomics: WGS can be used to identify and characterize bacteria, viruses, and other microorganisms.
- Evolutionary biology: WGS can be used to study the evolutionary history of species and identify the genetic basis of adaptation.
- Personalized medicine: WGS can be used to identify genetic risk factors for disease and predict individual response to drugs.
Limitations[edit | edit source]
While whole genome sequencing is a powerful tool, it also has limitations. These include:
- Cost: Despite falling prices, WGS is still expensive and may not be covered by insurance.
- Data interpretation: The interpretation of genomic data is complex and requires specialized knowledge.
- Privacy and ethical issues: The use of genomic data raises important privacy and ethical issues.
See also[edit | edit source]
References[edit | edit source]
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