Image Processing Algorithms in the DNA Sequencer “Nanofor SPS”

The success of genomic sequencing is impossible without the development of information technologies and mathematical methods for data processing to establish various features in the analyzed objects (nucleic acids) and trends in their changes. The volume of experimental data in the research of the g...

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Vydáno v:Technical physics Ročník 69; číslo 3; s. 612 - 618
Hlavní autoři: Manoilov, V. V., Borodinov, A. G., Saraev, A. S., Petrov, A. I., Zarutskiy, I. V., Kurochkin, V. E.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Moscow Pleiades Publishing 01.03.2024
Springer
Springer Nature B.V
Témata:
Algorithms
Camcorders
Cameras
Classical and Continuum Physics
Data processing
DNA
DNA sequencing
Equipment and supplies
Evaluation
Genomes
Genomics
Image processing
Methods
Nucleic acids
Nucleotide sequencing
Nucleotides
Physics
Physics and Astronomy
Signal to noise ratio
Software
image processing
nucleic acid
data processing
sequencing
ISSN:1063-7842, 1090-6525
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Shrnutí:The success of genomic sequencing is impossible without the development of information technologies and mathematical methods for data processing to establish various features in the analyzed objects (nucleic acids) and trends in their changes. The volume of experimental data in the research of the genome has grown significantly, and new methods and algorithms are required for their processing. The primary stage of processing the data of devices for genomic parallel sequencing is the evaluation of the parameters of images obtained from video cameras in the form of electrical signals. The next stage of processing is the construction of a sequence of nucleotides according to algorithms that depend on the principle of operation of the device for sequencing nucleic acids. When performing this stage, algorithms for evaluating quality indicators for all individual readings (reads) are important. One of the ways to assess quality is to use algorithms based on the k -measure analysis methodology. The calculation of the number of occurrences of k -measures during the experiment on the parallel sequencing system makes it possible to assess the reliability of the analysis. In this article, algorithms for processing genetic analyzer data are considered.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1063-7842
1090-6525
DOI:10.1134/S106378422402021X