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License: CC BY
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
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ZENODO
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License: CC BY
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RasmussenLab/PlasMAAG: PlasMAAG 0.1.0

Authors: Piera Lindez, Pau;

RasmussenLab/PlasMAAG: PlasMAAG 0.1.0

Abstract

This upload provides everything needed to run the PlasMAAG (https://www.biorxiv.org/content/10.1101/2025.02.26.640269v2) workflow with example input files for a specific version. plasmaag_repo.tar.gz contains a snapshot of the PlasMAAG at version 0.1.0, ensuring consistency and reproducibility. It serves the same purpose as cloning the repository, but without the risk of future changes. input_data.tar.gz includes all input files required to perform a test run of the PlasMAAG workflow: read_and_assembly_file.txt # Contains paths for the paired reads, and assemblies, per sample extracted_reads_clean_sample_{0,1}_{fw,rv}.fq # Forward and reverse read files per sample spades{0,1} # Assembly directories, containing the output of running metaSPAdes on the paired reads per sample: assembly_graph_after_simplification.gfa # simplified assembly graphs contigs.fasta # fasta file containing the assembled contigs contigs.paths # metadata file with information related to the contigs and assembly graphs To install PlasMAAG test version, first download plasmaag_repo.tar.gz and then: tar -xvzf plasmaag_repo.tar.gz # decompress directory conda env create -n PlasMAAG_zenodo --file=PlasMAAG/envs/PlasMAAG.yaml To use the program first activate the conda environment: conda activate PlasMAAG_zenodo Decompress inputs: tar -xvzf input_data.tar.gz # decompress inputs cd input_data And then run the pipeline testrun: PlasMAAG --reads_and_assembly_dir read_and_assembly_file.txt --output testrun -t 8--vamb_arguments '-o C -e 200 -q 25 75 150 --seed 1' Once the workflow finishes, several files and folders will be generated within the testrun directory, thoroughly described here. Final products of the pipeline can be found in the testrun/results directory, containing: candidate_plasmids.tsv # The candidate plasmids candidate_genomes.tsv # The candidate chromosomescandidate_plasmids # Directory with the candidate plasmids fasta filescandidate_genomes # Directory with the candidate chromosomes fasta files scores.tsv # The aggregated scores for each plasmid and genome cluster More information can be found in PlasMAAG're repository. Please remember that the PlasMAAG command has been modified for the testrun. So, when running PlasMAAG on real samples, please remove the --vamb_arguments '-o C -e 200 -q 25 75 150 --seed 1'.

Keywords

Metagenomic binning, Deep learning, Metagenomic Binning, Metagenomics, Plasmids

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average