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Massive parallel sequencing or massively parallel sequencing is any of several high-throughput approaches to DNA sequencing using the concept of massively parallel processing; it is also called next-generation sequencing (NGS) or second-generation sequencing.
One type of sequencing method can be used in preference to another depending on the type of the sample, for a genomic sample assembly-based methods is used; for a metagenomic sample it is preferable to use read-based methods. [10] Metagenomic sequencing methods have provided better results than genomics, due to these present fewer false negatives.
SNV calling from NGS data is any of a range of methods for identifying the existence of single nucleotide variants (SNVs) from the results of next generation sequencing (NGS) experiments. These are computational techniques, and are in contrast to special experimental methods based on known population-wide single nucleotide polymorphisms (see ...
Genome sequencing of endangered species is the application of Next Generation Sequencing (NGS) technologies in the field of conservation biology, with the aim of generating life history, demographic and phylogenetic data of relevance to the management of endangered wildlife.
There are two methods to conduct DNA sequencing, Whole Exome Sequencing (WES) [2] and Whole Genome Sequencing (WGS). [6] Formal way of sequencing, the sanger technique had some limitations that it was costly and time-consuming. The recent development of Next Generation Sequencing (NGS) [7] dramatically remedied the shortcomings of Sanger ...
These methods represented an important step forward in sequence assembly, as they both use algorithms to reach a global optimum instead of a local optimum. While both of these methods made progress towards better assemblies, the De Bruijn graph method has become the most popular in the age of next-generation sequencing.
This process involves metabarcoding, which can be precisely defined as the use of general or universal polymerase chain reaction (PCR) primers on mixed DNA samples from any origin followed by high-throughput next-generation sequencing (NGS) to determine the species composition of the sample. This method has been common in microbiology for years ...
The development of next-generation sequencers (NGS) allowed for increased cost effectiveness on very short read sequencing. The manipulation of de Bruijn graphs as a method for alignment became more realistic but further developments were needed to address issues with errors and repeats. [3]