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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.
Prior to this, only transcriptomes of organisms that were of broad interest and utility to scientific research were sequenced; however, these developed in 2010s high-throughput sequencing (also called next-generation sequencing) technologies are both cost- and labor- effective, and the range of organisms studied via these methods is expanding. [2]
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 ...
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.
New methods such as next-generation sequencing (NGS) and single-molecule real-time (SMRT) sequencing have enabled faster, more accurate, and more cost-effective sequencing of RNA molecules. These advances have opened up new possibilities for studying gene expression, identifying new genes, and understanding the regulation of gene expression.
It used the Sanger sequencing method, a technology which formed the basis of the "first generation" of DNA sequencers [2] [3] and enabled the completion of the human genome project in 2001. [4] This first generation of DNA sequencers are essentially automated electrophoresis systems that detect the migration of labelled DNA fragments.
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