Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network

Ekaterina Ivanova, Elizaveta Pershina, Nadezda Vasilieva, Evgeny Andronov, Evgeny Abakumov

Research outputpeer-review

Abstract

The application of molecular-genetic methods is currently one of the necessary steps in the natural microbiomes analysis. The use of these approaches in the study of microbial complexes of soil chronoseries is promising in identifying of taxonomic markers and microbiological drivers of pedogenesis. At the same time, the search for optimal ways of high-throughput sequencing data processing remains relevant today.
Translated title of the contributionАнализ микробиомов экогенетических серий подзолитсых почв с помощью искуственной информационной сети
Original languageEnglish
Article numberP3
Number of pages1
JournalBMC Bioinformatics
Volume20
Issue numberS17
Early online date8 Nov 2019
Publication statusPublished - 2019
Event3d International Conference «Bioinformatics: from Algorithms to Applications», June 20-June 22, 2019, Saint Petersburg, Russia - Санкт-Петербург
Duration: 20 Jun 201922 Jun 2019
http://biata2019.spbu.ru/wp-content/uploads/2019/06/BiATA2019-BoA.pdf

Scopus subject areas

  • Agricultural and Biological Sciences(all)

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