Algorithms of Processing Fluorescence Signals for Mass Parallel Sequencing of Nucleic Acids

• DOI: 10.15622/sp.2019.18.4.1010-1036
• Publication Date: 2019-08-02T13:07:25Z
• Authors: Vladimir Manoilov; Andrew Borodinov; Igor Zarutsky; Alexander Petrov; Vladimir Kurochkin
• Keywords: DECIPHER

Determination of the nucleotide sequence DNA or RNA containing from several hundred to hundreds millions monomers units allows obtain detailed information about genome humans, animals and plants. The deciphering nucleic acids’ structure was learned quite a long time ago, but initially decoding methods were low-performing, inefficient expensive. Methods for acid sequences are usually called sequencing methods. Instruments designed implement sequencers.
 Sequencing new generation (SNP), mass parallel related terms that describe technology high-performance in which entire human can be sequenced within day two. previous used decipher required more than ten years get final results.
 A hardware-software complex (HSC) is being developed (NA) pathogenic microorganisms using method NGS Institute Analytical Instrumentation Russian Academy Sciences.
 software included HSC plays an essential role solving problems. purpose this article show need create algorithms processing signals obtained process genetic analysis when problems, also demonstrate capabilities these algorithms.
 paper discusses main problems signal them, including: automatic semi-automatic focusing, background correction, detection cluster images, estimation coordinates their positions, creation templates clusters NA molecules on surface reaction cell, correction influence neighboring optical channels intensities assessment reliability results