Evidence map›Paper›PMID 32571209›Full record

ArticleBMC bioinformatics2020

ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data.

Silas Kieser, Joseph Brown, Evgeny M Zdobnov, Mirko Trajkovski, Lee Ann McCue

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

114 citing papers in PubMed, 192 citations in OpenAlex.

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  14. Rafts of change: microbial and functional dynamics in simulatedApplied and environmental microbiology · 2026
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54 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Silas KieserDepartment of Cell Physiology and Metabolism, Faculty of Medicine, Centre Medical Universitaire, 1206, Geneva, Switzerland.
Joseph BrownEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Evgeny M ZdobnovSwiss Institute of Bioinformatics, Geneva, Switzerland.
Mirko TrajkovskiDepartment of Cell Physiology and Metabolism, Faculty of Medicine, Centre Medical Universitaire, 1206, Geneva, Switzerland.
Lee Ann McCueEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. leeann.mccue@pnnl.gov.ORCID http://orcid.org/0000-0003-4456-517X
Pacific Northwest National Laboratory · USUniversity of Geneva · CHSIB Swiss Institute of Bioinformatics · CH

Funding

European Research Council ERC-COG-2018Pacific Northwest National Laboratory LDRD program Microbiomes in Transition Initiative
6 · The paper itself

Abstract

backgroundMetagenomics studies provide valuable insight into the composition and function of microbial populations from diverse environments; however, the data processing pipelines that rely on mapping reads to gene catalogs or genome databases for cultured strains yield results that underrepresent the genes and functional potential of uncultured microbes. Recent improvements in sequence assembly methods have eased the reliance on genome databases, thereby allowing the recovery of genomes from uncultured microbes. However, configuring these tools, linking them with advanced binning and annotation tools, and maintaining provenance of the processing continues to be challenging for researchers.

resultsHere we present ATLAS, a software package for customizable data processing from raw sequence reads to functional and taxonomic annotations using state-of-the-art tools to assemble, annotate, quantify, and bin metagenome data. Abundance estimates at genome resolution are provided for each sample in a dataset. ATLAS is written in Python and the workflow implemented in Snakemake; it operates in a Linux environment, and is compatible with Python 3.5+ and Anaconda 3+ versions. The source code for ATLAS is freely available, distributed under a BSD-3 license.

conclusionsATLAS provides a user-friendly, modular and customizable Snakemake workflow for metagenome data processing; it is easily installable with conda and maintained as open-source on GitHub at https://github.com/metagenome-atlas/atlas.

Indexed as

SoftwareMetagenomeMetagenomicsMolecular Sequence AnnotationWorkflowAnalysis workflowAnnotationMetagenome-assembled genomesMetagenomics

Identifiers

PMID32571209
PMCPMC7310028
OpenAlexW3036934263

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.