ArticleBioinformatics advances2025
AmpWrap: a one-line fully automated amplicon metabarcoding 16S and 18S rRNA gene analysis.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
4 authors.
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Abstract
Motivation: The revolution of next-generation sequencing has driven the establishment of metabarcoding as an efficient and cost-effective method for exploring community composition. Amplicon sequencing of taxonomic marker genes, such as the 16S rRNA gene in prokaryotes, provides an efficient method for high-throughput taxonomic profiling. The advent of long read technologies made it feasible to sequence the whole 16S rRNA gene rather than only a few regions, with the potential to achieve species-level resolution. Despite the affordability and scalability of such experiments, a major bottleneck remains the lack of integrated and user-friendly analytical workflows. Current pipelines often require the use of multiple tools with complex dependencies, and parameter optimization is frequently performed manually, limiting reproducibility and overall efficiency. Results: To address these limitations, we developed, AmpWrap, an automated, one line workflow designed to analyse both Illumina and Nanopore amplicons, requiring minimal efforts by the user and automatically optimizing the trimming parameter to retain the maximum number of reads and information while reducing noise. Availability and implementation: AmpWrap is available at: https://github.com/LDoni/AmpWrap.
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Registered trials
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.