基因组
生物
微生物群
计算生物学
仿形(计算机编程)
人类微生物组计划
人体微生物群
基因组
细菌分类学
系统发育树
遗传学
细菌
生物信息学
基因
计算机科学
16S核糖体RNA
操作系统
作者
Francesco Beghini,Lauren J. McIver,Aitor Blanco‐Míguez,Léonard Dubois,Francesco Asnicar,Sagun Maharjan,Ana Mailyan,Paolo Manghi,Matthias Scholz,Andrew Maltez Thomas,Mireia Vallès-Colomer,George Weingart,Yancong Zhang,Moreno Zolfo,Curtis Huttenhower,Eric A. Franzosa,Nicola Segata
出处
期刊:eLife
[eLife Sciences Publications Ltd]
日期:2021-05-04
卷期号:10
被引量:1397
摘要
Culture-independent analyses of microbial communities have progressed dramatically in the last decade, particularly due to advances in methods for biological profiling via shotgun metagenomics. Opportunities for improvement continue to accelerate, with greater access to multi-omics, microbial reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set of integrated, improved methods for taxonomic, strain-level, functional, and phylogenetic profiling of metagenomes newly developed to build on the largest set of reference sequences now available. Compared to current alternatives, MetaPhlAn 3 increases the accuracy of taxonomic profiling, and HUMAnN 3 improves that of functional potential and activity. These methods detected novel disease-microbiome links in applications to CRC (1262 metagenomes) and IBD (1635 metagenomes and 817 metatranscriptomes). Strain-level profiling of an additional 4077 metagenomes with StrainPhlAn 3 and PanPhlAn 3 unraveled the phylogenetic and functional structure of the common gut microbe Ruminococcus bromii , previously described by only 15 isolate genomes. With open-source implementations and cloud-deployable reproducible workflows, the bioBakery 3 platform can help researchers deepen the resolution, scale, and accuracy of multi-omic profiling for microbial community studies.
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