基因组
基因组
DNA测序
计算生物学
生物
深度测序
功能(生物学)
物种丰富度
全基因组测序
进化生物学
生态学
遗传学
基因
作者
T. M. Royalty,Andrew D. Steen
出处
期刊:MSystems
[American Society for Microbiology]
日期:2019-10-29
卷期号:4 (5)
被引量:5
标识
DOI:10.1128/msystems.00384-19
摘要
Short-read sequencing with Illumina sequencing technology provides an accurate, high-throughput method for characterizing the metabolic potential of microbial communities. Short-read sequences can be assembled and binned into metagenome-assembled genomes, thus shedding light on the function of microbial ecosystems that are important for health, agriculture, and Earth system processes. The work presented here provides an analytical framework for selecting sequencing effort as a function of genome relative abundance. As such, experimental goals in metagenome-assembled genome creation projects can select sequencing effort based on the rarest target genome as a constrained threshold. We hope that the results presented here, as well as GRASE, will be valuable to researchers planning sequencing experiments.
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