ArticleSTAR protocols2021
From microbial community structure to metabolic inference using paprica.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- From microbial diversity to functional potential using dimensionality reduction.Frontiers in microbiology · 2026Article
- Bioinformatic approaches to blood and tissue microbiome analyses: challenges and perspectives.Briefings in bioinformatics · 2025Review
- Unveiling nature's treasures: actinobacteria from Meghalaya's mining sites as sources of bioactive compounds.Archives of microbiology · 2024Article
- Metagenomic Analysis Using Phylogenetic Placement-A Review of the First Decade.Frontiers in bioinformatics · 2022Review
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Authors and funding
3 authors.
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Abstract
Microbial taxonomic marker gene studies using 16S rRNA gene amplicon sequencing provide an understanding of microbial community structure and diversity; however, it can be difficult to infer the functionality of microbes in the ecosystem from these data. Here, we show how to predict metabolism from phylogeny using the paprica pipeline. This approach allows resolution at the strain and species level for select regions on the prokaryotic phylogenetic tree and provides an estimate of gene and metabolic pathway abundance. For complete details on the use and execution of this protocol, please refer to Erazo and Bowman (2021).
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Registered trials
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