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

Research output

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.
Original languageEnglish
Number of pages1
Publication statusPublished - 1 Jul 2019

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Microbiota
soil formation
molecular genetics
neural networks
Molecular Biology
Soil
soil
methodology
microbiome
ecological genetics

Scopus subject areas

  • Agricultural and Biological Sciences(all)

Cite this

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title = "Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network",
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.",
keywords = "soils, microbiome, podzols",
author = "Абакумов, {Евгений Васильевич} and Першина, {Елизавета Владимировна} and Андронов, {Евгений Евгеньевич} and Екатерина Иванова",
note = "Ekaterina Ivanova, Elizaveta Pershina, Vasilieva Nadezda, Evgeny Andronov, Evgeny Abakumov Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network // BIATA2019 congress, 2019, Saint-Petersburg, June 20-22 2019.",
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T1 - Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network

AU - Абакумов, Евгений Васильевич

AU - Першина, Елизавета Владимировна

AU - Андронов, Евгений Евгеньевич

AU - Иванова, Екатерина

N1 - Ekaterina Ivanova, Elizaveta Pershina, Vasilieva Nadezda, Evgeny Andronov, Evgeny Abakumov Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network // BIATA2019 congress, 2019, Saint-Petersburg, June 20-22 2019.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - 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.

AB - 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.

KW - soils

KW - microbiome

KW - podzols

M3 - Abstract

ER -