Yimeng Kong
Chinese Academy of Sciences
13 Papers
10 Citations
Yimeng Kong is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Gene & Biology. The author has an hindex of 8, co-authored 9 publications.
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Papers
Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study.
TL;DR: This work compared the performance of publicly available transcriptome assemblers, and analyzed important factors affecting de novo assembly, and some practical guidelines for transcript reconstruction from short-read RNA-Seq data were proposed.
Global transcriptome profiles of Camellia sinensis during cold acclimation
Xinchao Wang,Qiongyi Zhao,Qiongyi Zhao,Chun-Lei Ma,Zong Hong Zhang,Hongli Cao,Yimeng Kong,Chuan Yue,Xinyuan Hao,Liang Chen,Jian-Qiang Ma,Ji-Qiang Jin,Xuan Li,Yajun Yang +13 more
TL;DR: This study presents a global survey of transcriptome profiles of tea plants in response to low, non-freezing temperatures and yields insights into the molecular mechanisms ofTea plants during the cold acclimation process.
The genome of Mesobuthus martensii reveals a unique adaptation model of arthropods
Zhijian Cao,Yao Yu,Yingliang Wu,Pei-Pei Hao,Zhiyong Di,Yawen He,Zongyun Chen,Weishan Yang,Zhiyong Shen,Xiaohua He,Jia Sheng,Xiaobo Xu,Bohu Pan,Jing Feng,Xiaojuan Yang,Wei Hong,Wenjuan Zhao,Zhongjie Li,Kai Huang,Tian-tian Li,Yimeng Kong,Hui Liu,Dahe Jiang,Binyan Zhang,Jun Hu,Youtian Hu,Bin-Bin Wang,Jianliang Dai,Bi-Feng Yuan,Yu-Qi Feng,Wei Huang,Xiaojing Xing,Guoping Zhao,Xuan Li,Yixue Li,Wenxin Li +35 more
TL;DR: The genome sequence of Mesobuthus martensii is reported, containing 32,016 protein-coding genes, the most among sequenced arthropods, and reveals a unique adaptation model of arthropod, offering new insights into the genetic bases of the living fossils.
Critical assessment of DNA adenine methylation in eukaryotes using quantitative deconvolution
Yimeng Kong,Lei Cao,Gintaras Deikus,Yu Fan,Edward A. Mead,Weiyi Lai,Yizhou Zhang,Raymund L. Yong,Robert Sebra,Hailin Wang,Xue-Song Zhang,Gang Fang +11 more
TL;DR: A metagenomic method to quantitatively deconvolve 6mA events from a genomic DNA sample into species of interest, genomic regions, and sources of contamination is developed and it is found that bacterial contamination explains the vast majority of 6mA in DNA samples from insects and plants.
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Navigating the pitfalls of mapping DNA and RNA modifications
TL;DR: Common (yet not always widely recognized) pitfalls that are shared among frequently used mapping technologies are focused on and strategies to help technology developers and users mitigate their effects are discussed.
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