Evidence map›Paper›PMID 35118380›Full record

ArticleNAR genomics and bioinformatics2022

nf-core/mag: a best-practice pipeline for metagenome hybrid assembly and binning.

Sabrina Krakau, Daniel Straub, Hadrien Gourlé, Gisela Gabernet, Sven Nahnsen

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  7. A novelApplied and environmental microbiology · 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

5 authors.

Sabrina KrakauQuantitative Biology Center (QBiC), University of Tübingen, 72076 Tübingen, Germany.ORCID https://orcid.org/0000-0003-0603-7907
Daniel StraubQuantitative Biology Center (QBiC), University of Tübingen, 72076 Tübingen, Germany.ORCID https://orcid.org/0000-0002-2553-0660
Hadrien GourléDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, S-75007 Uppsala, Sweden.ORCID https://orcid.org/0000-0001-9807-1082
Gisela GabernetQuantitative Biology Center (QBiC), University of Tübingen, 72076 Tübingen, Germany.ORCID https://orcid.org/0000-0001-7049-9474
Sven NahnsenQuantitative Biology Center (QBiC), University of Tübingen, 72076 Tübingen, Germany.ORCID https://orcid.org/0000-0002-4375-0691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of shotgun metagenomic data provides valuable insights into microbial communities, while allowing resolution at individual genome level. In absence of complete reference genomes, this requires the reconstruction of metagenome assembled genomes (MAGs) from sequencing reads. We present the nf-core/mag pipeline for metagenome assembly, binning and taxonomic classification. It can optionally combine short and long reads to increase assembly continuity and utilize sample-wise group-information for co-assembly and genome binning. The pipeline is easy to install-all dependencies are provided within containers-portable and reproducible. It is written in Nextflow and developed as part of the nf-core initiative for best-practice pipeline development. All codes are hosted on GitHub under the nf-core organization https://github.com/nf-core/mag and released under the MIT license.

Identifiers

PMID35118380
PMCPMC8808542

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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.