Evidence map›Paper›PMID 34748542›Full record

ArticlePLoS computational biology2021

RESCRIPt: Reproducible sequence taxonomy reference database management.

Michael S Robeson, Devon R O'Rourke, Benjamin D Kaehler, Michal Ziemski, Matthew R Dillon, Jeffrey T Foster, Nicholas A Bokulich

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 545 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
545citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

545 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  16. Diurnal dynamics of maize gene expression is associated with phyllosphere microbiome composition.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  17. Low Prevalence and Abundance ofMicroorganisms · 2026
    Article
  18. Article
  19. Structure, Diversity, and Metabolic Potential of Bacterioplankton in an Urban River at a Long Low-Level Water Period.Water environment research : a research publication of the Water Environment Federation · 2026
    Article
  20. Article

485 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michael S RobesonUniversity of Arkansas for Medical Sciences, Department of Biomedical Informatics, Little Rock, Arkansas, United States of America.ORCID 0000-0001-7119-6301
Devon R O'RourkePathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.ORCID 0000-0002-0214-5073
Benjamin D KaehlerSchool of Science, University of New South Wales, Canberra, Australia.ORCID 0000-0002-5318-9551
Michal ZiemskiLaboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland.ORCID 0000-0001-6285-8852
Matthew R DillonPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.ORCID 0000-0002-7713-1952
Jeffrey T FosterPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Nicholas A BokulichLaboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland.ORCID 0000-0002-1784-8935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleotide sequence and taxonomy reference databases are critical resources for widespread applications including marker-gene and metagenome sequencing for microbiome analysis, diet metabarcoding, and environmental DNA (eDNA) surveys. Reproducibly generating, managing, using, and evaluating nucleotide sequence and taxonomy reference databases creates a significant bottleneck for researchers aiming to generate custom sequence databases. Furthermore, database composition drastically influences results, and lack of standardization limits cross-study comparisons. To address these challenges, we developed RESCRIPt, a Python 3 software package and QIIME 2 plugin for reproducible generation and management of reference sequence taxonomy databases, including dedicated functions that streamline creating databases from popular sources, and functions for evaluating, comparing, and interactively exploring qualitative and quantitative characteristics across reference databases. To highlight the breadth and capabilities of RESCRIPt, we provide several examples for working with popular databases for microbiome profiling (SILVA, Greengenes, NCBI-RefSeq, GTDB), eDNA and diet metabarcoding surveys (BOLD, GenBank), as well as for genome comparison. We show that bigger is not always better, and reference databases with standardized taxonomies and those that focus on type strains have quantitative advantages, though may not be appropriate for all use cases. Most databases appear to benefit from some curation (quality filtering), though sequence clustering appears detrimental to database quality. Finally, we demonstrate the breadth and extensibility of RESCRIPt for reproducible workflows with a comparison of global hepatitis genomes. RESCRIPt provides tools to democratize the process of reference database acquisition and management, enabling researchers to reproducibly and transparently create reference materials for diverse research applications. RESCRIPt is released under a permissive BSD-3 license at https://github.com/bokulich-lab/RESCRIPt.

Indexed as

Database Management SystemsSoftwareAnimalsClassificationComputational BiologyDatabases, GeneticDatabases, Nucleic AcidDNA Barcoding, TaxonomicGenomicsHumansMetagenomeMetagenomicsMicrobiotaPhylogenyRNA, Ribosomal, 16SSequence AnalysisRNA, Ribosomal, 16S

Identifiers

PMID34748542
PMCPMC8601625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.