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Samuel Holden1,2, Sang Hu Kim3, Wen Chen4

  • 1Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, Canada. Samuel.holden@ubc.ca.

概括

本研究介绍了在环境样本数据的测序中识别和分类微生物的in silico方法,这对于准确的植物相关微生物研究至关重要. 这些质量控制步骤确保了下游分析的数据完整性,特别是在复杂的现场样本 (如菌) 中.

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