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Combining whole genome shotgun sequencing and rDNA amplicon analyses to improve detection of microbe-microbe interaction networks in plant leaves

机译：结合全基因组霰弹枪测序和RDNA扩增子分析，改善植物叶片微生物微生物相互作用网络的检测

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Julian Regalado; Derek S. Lundberg; Oliver Deusch; Sonja Kersten; Talia Karasov; Karin Poersch; Gautam Shirsekar; Detlef Weigel;
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1. Combining whole-genome shotgun sequencing and rRNA gene amplicon analyses to improve detection of microbe-microbe interaction networks in plant leaves [J] . Regalado Julian, Lundberg Derek S., Deusch Oliver, The ISME journal emultidisciplinary journal of microbial ecology . 2020,第8期

机译：结合全基因组霰弹枪测序和RRNA基因扩增子分析，改善植物叶片微生物微生物相互作用网络的检测
2. The Plant Genome Abstract - Original Research Target Amplicon Sequencing for Genotyping Genome-Wide Single Nucleotide Polymorphisms Identified by Whole-Genome Resequencing in Peanut [J] . Masanobu?Fukami, Chikara?Kuwata, Sachiko?Isobe, The Plant Genome . 2016,第3期

机译：植物基因组摘要-花生全基因组重测序鉴定基因组全基因组单核苷酸多态性的原始研究目标扩增子序列。
3. Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing [J] . Ranjan Ravi, Rani Asha, Metwally Ahmed, Biochemical and Biophysical Research Communications . 2016,第4期

机译：微生物组分析：全基因组shot弹枪与16S扩增子测序相比的优势
4. COMBINING WHOLE GENOME SEQUENCING AND ANALYTIC CONTACT TRACING FOR IMPROVED DETECTION OF SALMONELLA DUBLIN TRANSMISSION ROUTES [C] . Meeting of the Society for Veterinary Epidemiology and Preventive Medicine . 2018

机译：结合全基因组测序和分析接触跟踪，改进了沙门氏菌都柏林传输路线的检测
5. Internal delamination detection problems using a combined improved-counterpropagation neural network and genetic algorithm technique. [D] . Phuong, Tran N. 2013

机译：使用改进的反向传播神经网络和遗传算法相结合的内部分层检测问题。
6. Combining whole-genome shotgun sequencing and rRNA gene amplicon analyses to improve detection of microbe–microbe interaction networks in plant leaves [O] . Julian Regalado, Derek S. Lundberg, Oliver Deusch, 2020

机译：结合全基因组shot弹枪测序和rRNA基因扩增子分析可改善植物叶片中微生物与微生物相互作用网络的检测
7. Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON data [O] . Kyle D. Brumfield, Anwar Huq, Rita R. Colwell, 2020

机译：全基因组霰弹枪的微生物分辨率和16S扩增子组分测序使用公开可用的霓虹数据测序

Combining whole genome shotgun sequencing and rDNA amplicon analyses to improve detection of microbe-microbe interaction networks in plant leaves

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