Valeriia Kaptelova1, Maria Logacheva2, Anna Speranskaya3, Denis Omelchenko4, Anna Fedotova5, Anastasia Krinitsina6, Andrey Ayginin7, Kamil Khafizov8, Elena Korneenko9, Andrei Samoilov101Central Research Institute of Epidemiology, Moscow, Russia, valeriia.kaptelova@gmail.com2Skolkovo Institute of Science and Technology, Skolkovo, Russia, maria.log@gmail.com3Central Research Institute of Epidemiology, Moscow, Russia, hanna.s.939@gmail.com4Institute of Information Transmission Problems, Moscow, Russia, omdeno@gmail.com5Skolkovo Institute of Science and Technology, Skolkovo, Russia, mikrobiomsu@list.ru6Lomonosov Moscow State University, Moscow, Russia, ankrina@gmail.com7FSBI “Center of Strategic Planning” of the Ministry of Health, Moscow, Russia, ayginin75@gmail.com8FSBI “Center of Strategic Planning” of the Ministry of Health, Moscow, Russia, kkhafizov@gmail.com9Central Research Institute of Epidemiology, Moscow, Russia, lennatta@yandex.ru10Central Research Institute of Epidemiology, Moscow, Russia, andrei.samoilov@gmail.com Metagenomic analysis using high-throughput sequencing is an intensively developing approach nowadays. One of its problems is the adequate quantification of components in metagenomic samples.

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