Evidence map›Paper›PMID 33561126›Full record

ArticlePLoS computational biology2021

Metagenomics workflow for hybrid assembly, differential coverage binning, metatranscriptomics and pathway analysis (MUFFIN).

Renaud Van Damme, Martin Hölzer, Adrian Viehweger, Bettina Müller, Erik Bongcam-Rudloff, Christian Brandt

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

6 authors.

Renaud Van DammeDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID 0000-0002-7909-4868
Martin HölzerRNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany.ORCID 0000-0001-7090-8717
Adrian ViehwegerRNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany.ORCID 0000-0002-8970-5204
Bettina MüllerDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID 0000-0002-0030-7710
Erik Bongcam-RudloffDepartment Animal Breeding and Genetics, Bioinformatics section, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID 0000-0002-1947-8288
Christian BrandtDepartment Animal Breeding and Genetics, Bioinformatics section, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID 0000-0002-7199-3957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomics has redefined many areas of microbiology. However, metagenome-assembled genomes (MAGs) are often fragmented, primarily when sequencing was performed with short reads. Recent long-read sequencing technologies promise to improve genome reconstruction. However, the integration of two different sequencing modalities makes downstream analyses complex. We, therefore, developed MUFFIN, a complete metagenomic workflow that uses short and long reads to produce high-quality bins and their annotations. The workflow is written by using Nextflow, a workflow orchestration software, to achieve high reproducibility and fast and straightforward use. This workflow also produces the taxonomic classification and KEGG pathways of the bins and can be further used for quantification and annotation by providing RNA-Seq data (optionally). We tested the workflow using twenty biogas reactor samples and assessed the capacity of MUFFIN to process and output relevant files needed to analyze the microbial community and their function. MUFFIN produces functional pathway predictions and, if provided de novo metatranscript annotations across the metagenomic sample and for each bin. MUFFIN is available on github under GNUv3 licence: https://github.com/RVanDamme/MUFFIN.

Indexed as

MetagenomeMetagenomicsSoftwareWorkflowAlgorithmsBioreactorsComputational BiologyComputer SimulationGenomicsHumansReproducibility of ResultsRNA-SeqSequence Analysis, DNA

Identifiers

PMID33561126
PMCPMC7899367

What OpenQuestion holds

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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.