Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to  Rhizoctonia solani  under excess nitrogen fertilization using gene network reconstruction and analysis methods

E. A. Antropova; A. R. Volyanskaya; A. V. Adamovskaya; P. S. Demenkov; I. V. Yatsyk; T. V. Ivanisenko; Y. L. Orlov; Ch. Haoyu; M. Chen; V. A. Ivanisenko

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ISSN 2500-3259 (Online)

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Alexey V. Kochetov

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About the Authors

E. A. Antropova
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University
Russian Federation

Novosibirsk

A. R. Volyanskaya
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University
Russian Federation

Novosibirsk

A. V. Adamovskaya
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University
Russian Federation

Novosibirsk

P. S. Demenkov
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University; Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk

I. V. Yatsyk
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk

T. V. Ivanisenko
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University; Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk

Y. L. Orlov
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University; Agrarian and Technological Institute, Peoples’ Friendship University of Russia; Digital Health Center, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenovskiy University)
Russian Federation

Novosibirsk;

Moscow

Ch. Haoyu
Department of Bioinformatics, College of Life Sciences, Zhejiang University
China

Hangzhou

M. Chen
Department of Bioinformatics, College of Life Sciences, Zhejiang University
China

Hangzhou

V. A. Ivanisenko
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Artificial Intelligence Research Center, Novosibirsk State University; Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk

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