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

Переведенное название: Анализ микробиомов экогенетических серий подзолитсых почв с помощью искуственной информационной сети

Евгений Васильевич Абакумов, Елизавета Владимировна Першина, Евгений Евгеньевич Андронов, Екатерина Иванова

Результат исследований: Материалы конференцийтезисынаучнаярецензирование

Выдержка

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.
Язык оригиналаанглийский
Страницы1
Число страниц1
СостояниеОпубликовано - 1 июл 2019

Ключевые слова

  • soils
  • microbiome
  • podzols

Предметные области Scopus

  • Земледелие и биологические науки (все)

Цитировать

Абакумов, Е. В., Першина, Е. В., Андронов, Е. Е., & Иванова, Е. (2019). Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network. 1.
Абакумов, Евгений Васильевич ; Першина, Елизавета Владимировна ; Андронов, Евгений Евгеньевич ; Иванова, Екатерина. / Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network. 1 стр.
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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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Абакумов, ЕВ, Першина, ЕВ, Андронов, ЕЕ & Иванова, Е 2019, 'Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network' стр. 1.

Analysis of microbiomes of the ecogenetic series of podzolic soils using an artificial neural network. / Абакумов, Евгений Васильевич; Першина, Елизавета Владимировна; Андронов, Евгений Евгеньевич; Иванова, Екатерина.

2019. 1.

Результат исследований: Материалы конференцийтезисынаучнаярецензирование

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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

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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.

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