Next Generation Sequencing Is A Type of Parallel Sequencing Technology, Which Offers Very High Speed, Scalability, and Throughput

 

Next Generation Sequencing

Next generation sequencing (NGS) has a multitude of applications, enabling rapid technological progress in many fields of biological science. This technology is being used to resequencing the human genome to discover the genetic factors that lead to disease. In addition to its potential to find new medical treatments, NGS has also helped researchers gain significant knowledge about many different organisms, from plants to animals. In regions such as Germany, the increasing prevalence of biotechnology companies has increased the usage of next generation sequencing. For instance, according to BIO Deutschland, there are around 679 biotechnology companies in Germany.

The Global Next Generation Sequencing Market is estimated to be valued at US$ 42.958 million in 2022 and is expected to exhibit a CAGR of 4.3% during the forecast period (2022-2030).

Next generation sequencing begins by identifying a sample's genetic material, either RNA or DNA. Next, a process known as short-read sequencing fragments the sample into 100 to 300-base pair reads. Adapters are then added to the DNA so that the reads can be sequenced. The sequences can be enriched and targeted to a specific sequence, enabling them to be pieced back together to form a complete genomic sequence.

Whole exome sequencing is a more comprehensive method of next-generation sequencing, capturing all of a gene's protein-coding sequences. Whole-exome sequencing encompasses approximately 22,000 genes. Whole-exome sequencing also captures the flanking sequences, which can harbor genetic variants. Several technologies rely on hybridization for whole-exome sequencing, while targeted exonic regions can be captured using oligonucleotide probes. Next, libraries are prepared and sequenced using a next generation sequencing platform.

Next generation sequencing technology has revolutionized molecular biology by enabling scientists to analyze genomes and RNA much more efficiently than with traditional methods. Next generation sequencing can produce millions of short-read sequences in less time than traditional methods. And with this rapid sequencing technology, it is possible to study a variety of diseases. And next-generation sequencing has enabled the study of DNA-protein interactions and many other biological processes.

Depending on the question being asked, the best next generation sequencing strategy will differ between clinical and research applications. In clinical genetics, high-quality and consistent data from next generation sequencing is essential for making informed decisions about disease treatment. This information has both economic and psychological implications. Thus, the best sequencing method must be validated from the pre-analytical to post-analytical phases. This ensures quality results and a more accurate diagnosis.