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Next Generation Stats, or simply Next Gen Stats (NGS), refers to data collected by the National Football League (NFL) and the advanced statistics drawn from that data. Going beyond the standard statistics recorded in NFL games (such as passing yards, rushing touchdowns, or interceptions), NGS data instead focuses on advanced statistics, with ...
The datum may be accessed via NGS's network of survey marks or through the Continuously Operating Reference Station (CORS) network of GPS reference antennas. NGS is responsible for computing the relationship between NAD83 and the ITRF. The physical components of the NSRS are reflected in its height system, defined by the vertical datum NAVD88.
NGS adapters are short ~80 BP fragments that bind to DNA to aid in amplification during library preparation and are also useful to bind DNA to the flow cell during sequencing. [5] These adapters are made up of three parts that flank the DNA sequence of interest. There is the flow cell binding sequence, the primer binding site, and also tagged ...
For example, the algorithm QualComp [9] performs lossy compression with a rate (number of bits per quality value) specified by the user. Based on rate-distortion theory results, it allocates the number of bits so as to minimize the MSE (mean squared error) between the original (uncompressed) and the reconstructed (after compression) quality values.
An important part of the design of variant calling methods using NGS data is the DNA sequence used as a reference to which the NGS reads are aligned. In human genetics studies, high quality references are available, from sources such as the HapMap project , [ 10 ] which can substantially improve the accuracy of the variant calls made by variant ...
An example of such errors is C>A/G>T transversion, detected in low frequencies using deep sequencing or targeted capture data and arising due to DNA oxidation during sample preparation. [11] These types of false-positive variants are filtered out by the duplex sequencing method since mutations need to be accurately matched in both strands of ...
The authors make several suggestions for assembly: 1) use more than one assembler, 2) use more than one metric for evaluation, 3) select an assembler that excels in metrics of more interest (e.g., N50, coverage), 4) low N50s or assembly sizes may not be concerning, depending on user needs, and 5) assess the levels of heterozygosity in the ...
The capacity to detect all the potential pathogens in a sample makes metagenomic next generation sequencing a potent tool in the diagnosis of infectious disease especially when other more directed assays, such as PCR, fail. Its limitations include clinical utility, laboratory validity, sense and sensitivity, cost and regulatory considerations. [1]