Genome-Wide Identification of MicroRNAs that are Responsive to Virus/Viroid Infection in Nectarine Trees Through High-Throughput Sequencing

Author(s):  
Lijuan Yang ◽  
Shifang Li ◽  
Zimeng Zhang ◽  
Meiguang Lu
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Juan Xie ◽  
Jinfang Zheng ◽  
Xu Hong ◽  
Xiaoxue Tong ◽  
Shiyong Liu

AbstractProtein-RNA interaction participates in many biological processes. So, studying protein–RNA interaction can help us to understand the function of protein and RNA. Although the protein–RNA 3D3D model, like PRIME, was useful in building 3D structural complexes, it can’t be used genome-wide, due to lacking RNA 3D structures. To take full advantage of RNA secondary structures revealed from high-throughput sequencing, we present PRIME-3D2D to predict binding sites of protein–RNA interaction. PRIME-3D2D is almost as good as PRIME at modeling protein–RNA complexes. PRIME-3D2D can be used to predict binding sites on PDB data (MCC = 0.75/0.70 for binding sites in protein/RNA) and transcription-wide (MCC = 0.285 for binding sites in RNA). Testing on PDB and yeast transcription-wide data show that PRIME-3D2D performs better than other binding sites predictor. So, PRIME-3D2D can be used to predict the binding sites both on PDB and genome-wide, and it’s freely available.


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2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Rongrong Zhai ◽  
Shenghai Ye ◽  
Guofu Zhu ◽  
Yanting Lu ◽  
Jing Ye ◽  
...  

2020 ◽  
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pp. 825-838
Author(s):  
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Shanshan Chu ◽  
Chongyuan Sun ◽  
Huanqing Xu ◽  
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Liang Xu ◽  
Yan Wang ◽  
Danqiong Huang ◽  
Rugang Yu ◽  
...  

2015 ◽  
Vol 58 (8) ◽  
pp. 778-786 ◽  
Author(s):  
YanMei Wang ◽  
Yan Ding ◽  
DingWei Yu ◽  
Wei Xue ◽  
JinYuan Liu

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