Y
Yuan Xiaohui
Researcher at Wuhan University of Technology
Publications - 6
Citations - 95
Yuan Xiaohui is an academic researcher from Wuhan University of Technology. The author has contributed to research in topics: Genome & Sequence assembly. The author has an hindex of 2, co-authored 6 publications receiving 33 citations. Previous affiliations of Yuan Xiaohui include Chinese Ministry of Education.
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Journal ArticleDOI
Chromosome-scale genome assembly of sweet cherry (Prunus avium L.) cv. Tieton obtained using long-read and Hi-C sequencing
Jiawei Wang,Weizhen Liu,Zhu Dongzi,Hong Po,Shizhong Zhang,Shijun Xiao,Tan Yue,Chen Xin,Xu Li,Zong Xiaojuan,Lisi Zhang,Hairong Wei,Yuan Xiaohui,Qingzhong Liu +13 more
TL;DR: The chromosome-scale assembly ofsweet cherry revealed that gene duplication events contributed to the expansion of gene families for salicylic acid/jasmonic acid carboxyl methyltransferase and ankyrin repeat-containing proteins in the genome of sweet cherry.
Journal ArticleDOI
The sequence and de novo assembly of Oxygymnocypris stewartii genome.
Liu Haiping,Shijun Xiao,Nan Wu,Di Wang,Yanchao Liu,Chao-Wei Zhou,Qi-Yong Liu,Rui-Bin Yang,Wenkai Jiang,Qiqi Liang,Wangjiu,Chi Zhang,Jun-Hua Gong,Yuan Xiaohui,Mou Zhenbo +14 more
TL;DR: The assembled genome can be used as a reference for future population genetic studies of O. stewartii and will improve the understanding of high altitude adaptation of fishes in the Qinghai-Tibetan Plateau.
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High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography.
TL;DR: The methods provide robust and novel tools for phenotyping the morphological seed and fruit traits of various plant species, which could benefit crop breeding and functional genomics.
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A Deep Learning-Based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis.
Chuancheng Zhu,Yusong Hu,Hude Mao,Shumin Li,Fangfang Li,Congyuan Zhao,Lin Luo,Weizhen Liu,Yuan Xiaohui,Yuan Xiaohui +9 more
TL;DR: In this article, the authors developed an automated stomatal index measurement pipeline using Faster regions with convolutional neural networks (R-CNN) and U-Net and image-processing techniques.
Journal ArticleDOI
MFCIS: an automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology
Yanping Zhang,Jing Peng,Yuan Xiaohui,Lisi Zhang,Zhu Dongzi,Hong Po,Jiawei Wang,Qingzhong Liu,Weizhen Liu +8 more
TL;DR: In this article, a multi-feature combined cultivar identification system (MFCIS) is proposed, which combines multiple leaf morphological features collected by persistent homology and a convolutional neural network.