2020
DOI: 10.1186/s12859-020-03585-4
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ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data

Abstract: Background: Metagenomics 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 mic… Show more

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Cited by 132 publications
(138 citation statements)
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“…Chloroheliales' (Supplementary Note 1). The single enrichment culture metagenome was processed using ATLAS version 2.2.0 52,55 for read quality control, assembly and genome binning. A single genome bin was classified using the GTDB-Tk 21 to the Chloroflexota phylum.…”
Section: Genome Assembly and Binningmentioning
confidence: 99%
“…Chloroheliales' (Supplementary Note 1). The single enrichment culture metagenome was processed using ATLAS version 2.2.0 52,55 for read quality control, assembly and genome binning. A single genome bin was classified using the GTDB-Tk 21 to the Chloroflexota phylum.…”
Section: Genome Assembly and Binningmentioning
confidence: 99%
“…Quality assessment for completeness and contamination of sequence bins was performed using CheckM V1.0.18 software (33). Annotation of gene content was performed using the pipeline ATLAS-metagenome (34), which involves the prediction of open reading frames (ORFs) using Prodigal (35). Translated gene products were clustered using linclust (36) to generate non-redundant gene and protein catalogues, which were mapped to the eggNOG catalogue (37) using DIAMOND (38).…”
Section: Data Preprocessing Assembly Binning and Annotationsmentioning
confidence: 99%
“…Several workflows for metagenomic analyses have been published, including MetaWRAP(v1.2.1) [ 15 ], Anvi’o [ 16 ], SAMSA2 [ 17 ], Humann [ 18 ], MG-Rast [ 19 ], ATLAS [ 20 ], or Sunbeam [ 21 ]. Unlike those, MUFFIN allows for a hybrid metagenomic approach combining the strengths of short and long reads.…”
Section: Introductionmentioning
confidence: 99%