日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Diversity of lncRNAs in the pan-transcriptome of maize inbred lines

玉米自交系泛转录组中lncRNA的多样性

Pronozin, Artem Yu; Shmakov, Nikolai A; Afonnikov, Dmitry A

Evolutionary Transcriptomics of Cancer Development

癌症发展的进化转录组学

Ivanov, Roman; Afonnikov, Dmitry; Matushkin, Yury; Lashin, Sergey

Analysis of coat texture characteristics of bread wheat grains obtained from digital images

通过数字图像分析面包小麦籽粒的表皮纹理特征

Avzalov, Dmitry R; Arif, Mian Abdur Rehman; Komyshev, Evgenii G; Koval, Vasily S; Börner, Andreas; Afonnikov, Dmitry A

Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis

基于深度学习分割的无人机RGB图像植物检测及其模型精度对下游分析的影响

Kozhekin, Mikhail V; Genaev, Mikhail A; Komyshev, Evgenii G; Zavyalov, Zakhar A; Afonnikov, Dmitry A

Computational prediction of the interaction network between long non-coding RNAs and microRNAs in maize based on the transcriptome of the fuzzy tassel mutant line

基于玉米毛穗突变体转录组的长链非编码RNA与microRNA相互作用网络的计算预测

Yan, J; Pronozin, A Yu; Afonnikov, D A

OrthoML2GO: homology-based protein function prediction using orthogroups and machine learning

OrthoML2GO:基于同源性的蛋白质功能预测,利用直系同源基因组和机器学习

Malyugin, E V; Afonnikov, D A

CropGene: a software package for the analysis of genomic and transcriptomic data of agricultural plants

CropGene:用于分析农作物基因组和转录组数据的软件包

Pronozin, A Yu; Karetnikov, D I; Shmakov, N A; Bocharnikova, M E; Afonnikova, S D; Afonnikov, D A; Kolchanov, N A

Counting touching wheat grains in images based on elliptical approximation

基于椭圆近似的图像中相互接触的麦粒计数

Avzalov, D R; Komyshev, E G; Afonnikov, D A

Identification of Novel Loci Precisely Modulating Pre-Harvest Sprouting Resistance and Red Color Components of the Seed Coat in T. aestivum L

鉴定小麦(T. aestivum L.)中精确调控采前萌发抗性和种皮红色成分的新基因位点

Afonnikova, Svetlana D; Kiseleva, Antonina A; Fedyaeva, Anna V; Komyshev, Evgenii G; Koval, Vasily S; Afonnikov, Dmitry A; Salina, Elena A

Evaluation of the Spike Diversity of Seven Hexaploid Wheat Species and an Artificial Amphidiploid Using a Quadrangle Model Obtained from 2D Images

利用从二维图像获得的四边形模型评估七种六倍体小麦品种和一种人工异源四倍体的穗部多样性

Komyshev, Evgenii G; Genaev, Mikhail A; Kruchinina, Yuliya V; Koval, Vasily S; Goncharov, Nikolay P; Afonnikov, Dmitry A