The Nextflow nf-core/metatdenovo pipeline for reproducible annotation of metatranscriptomes, and more

Metatranscriptomics-the sequencing of community RNA-has become a popular tool in microbial ecology, proving useful for both <i>in situ</i> surveys and experiments. However, annotating raw sequence data remains challenging for many research groups with limited computational experience. Standardized and reproducible analyses are important to enhance transparency, comparability across studies, and long-term reproducibility. To simplify metatranscriptome processing for biologists, and to promote reproducible analyses, we introduce nf-core/metatdenovo, a Nextflow-based workflow. Nextflow pipelines run on different computing platforms, from standalone systems to high-performance computing clusters and cloud platforms (<i>e.g.</i>, AWS, Google Cloud, Azure) and use container technology such as Docker or Singularity to reproducibly provision software. Biologists can access the pipeline using either the command line or the Seqera platform, which provides a web browser-based interface to Nextflow pipelines. Collaborating with nf-core ensures high-quality, documented, reproducible workflows. Our nf-core/metatdenovo pipeline adheres to these established standards, enabling FAIR metatranscriptome <i>de novo</i> assembly, quantification, and annotation.

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Publication Details

Journal
PeerJ
Published
2025-12-05
DOI
https://doi.org/10.7717/peerj.20328
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
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article

The Nextflow nf-core/metatdenovo pipeline for reproducible annotation of metatranscriptomes, and more

Danilo Di Leo, Arianna I. Krinos, Jarone Pinhassi, Daniel Lundin et al.
PeerJ
Genomics and Phylogenetic Studies
article

The Nextflow nf-core/metatdenovo pipeline for reproducible annotation of metatranscriptomes, and more

Danilo Di Leo, Arianna I. Krinos, Jarone Pinhassi, Daniel Lundin, Emelie Nilsson
article en

Abstract

Metatranscriptomics-the sequencing of community RNA-has become a popular tool in microbial ecology, proving useful for both <i>in situ</i> surveys and experiments. However, annotating raw sequence data remains challenging for many research groups with limited computational experience. Standardized and reproducible analyses are important to enhance transparency, comparability across studies, and long-term reproducibility. To simplify metatranscriptome processing for biologists, and to promote reproducible analyses, we introduce nf-core/metatdenovo, a Nextflow-based workflow. Nextflow pipelines run on different computing platforms, from standalone systems to high-performance computing clusters and cloud platforms (<i>e.g.</i>, AWS, Google Cloud, Azure) and use container technology such as Docker or Singularity to reproducibly provision software. Biologists can access the pipeline using either the command line or the Seqera platform, which provides a web browser-based interface to Nextflow pipelines. Collaborating with nf-core ensures high-quality, documented, reproducible workflows. Our nf-core/metatdenovo pipeline adheres to these established standards, enabling FAIR metatranscriptome <i>de novo</i> assembly, quantification, and annotation.

PeerJVol. 13
Planetary Science Institute (US), Linnaeus University (SE), Brown University (US)
Openalex Percentile: Top 65%
Genomics and Phylogenetic Studies
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