Evidence map›Paper›PMID 33252655›Full record

ArticleGigaScience2020

Dadasnake, a Snakemake implementation of DADA2 to process amplicon sequencing data for microbial ecology.

Christina Weißbecker, Beatrix Schnabel, Anna Heintz-Buschart

Abstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–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

48 citing papers in PubMed.

  1. Article
  2. Plant diversity influences plant volatile emission with varying effects at the species and community levels.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

3 authors.

Christina WeißbeckerHelmholtz Centre for Environmental Research GmbH - UFZ, Department of Soil Ecology; Theodor-Lieser-Str. 4, 06120 Halle, Germany.
Beatrix SchnabelHelmholtz Centre for Environmental Research GmbH - UFZ, Department of Soil Ecology; Theodor-Lieser-Str. 4, 06120 Halle, Germany.
Anna Heintz-BuschartHelmholtz Centre for Environmental Research GmbH - UFZ, Department of Soil Ecology; Theodor-Lieser-Str. 4, 06120 Halle, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmplicon sequencing of phylogenetic marker genes, e.g., 16S, 18S, or ITS ribosomal RNA sequences, is still the most commonly used method to determine the composition of microbial communities. Microbial ecologists often have expert knowledge on their biological question and data analysis in general, and most research institutes have computational infrastructures to use the bioinformatics command line tools and workflows for amplicon sequencing analysis, but requirements of bioinformatics skills often limit the efficient and up-to-date use of computational resources.

resultsWe present dadasnake, a user-friendly, 1-command Snakemake pipeline that wraps the preprocessing of sequencing reads and the delineation of exact sequence variants by using the favorably benchmarked and widely used DADA2 algorithm with a taxonomic classification and the post-processing of the resultant tables, including hand-off in standard formats. The suitability of the provided default configurations is demonstrated using mock community data from bacteria and archaea, as well as fungi.

conclusionsBy use of Snakemake, dadasnake makes efficient use of high-performance computing infrastructures. Easy user configuration guarantees flexibility of all steps, including the processing of data from multiple sequencing platforms. It is easy to install dadasnake via conda environments. dadasnake is available at https://github.com/a-h-b/dadasnake.

Indexed as

MicrobiotaPhylogenySoftwareHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SRNA, Ribosomal, 16Scommunity structuredenoisingexact sequence variantsmicrobiomepipelineRrRNA gene sequence analysis

Identifiers

PMID33252655
PMCPMC7702218

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.