Laboratorio de Genómica Ecológica y Evolutiva, Langebio, Cinvestav, Mexico.
Laboratorio de Evolución de la Diversidad Metabólica, Langebio, Cinvestav, Mexico.
Methods Mol Biol. 2022;2512:153-179. doi: 10.1007/978-1-0716-2429-6_10.
Microbial communities' taxonomic and functional diversity has been broadly studied since sequencing technologies enabled faster and cheaper data obtainment. Nevertheless, the programming skills needed and the amount of software available may be overwhelming to someone trying to analyze these data. Here, we present a comprehensive and straightforward pipeline that takes shotgun metagenomics data through the needed steps to obtain valuable results. The raw data goes through a quality control process, metagenomic assembly, binning (the obtention of single genomes from a metagenome), taxonomic assignment, and taxonomic diversity analysis and visualization.
自从测序技术能够更快、更便宜地获取数据以来,人们广泛研究了微生物群落的分类和功能多样性。然而,对于试图分析这些数据的人来说,所需的编程技能和可用的软件数量可能令人望而却步。在这里,我们展示了一个全面而简单的流程,该流程可将 shotgun 宏基因组学数据通过所需的步骤来获得有价值的结果。原始数据经过质量控制过程、宏基因组组装、分类(从宏基因组中获得单个基因组)、分类学分配以及分类多样性分析和可视化。