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metagenomic data simulator dwgsim  (SourceForge net)

 
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    SourceForge net metagenomic data simulator dwgsim
    The comparison of properties of taxonomical and functional analyses for <t> metagenomic </t> samples.
    Metagenomic Data Simulator Dwgsim, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/metagenomic+data+simulator+dwgsim/metagenomic+data+simulator+dwgsim/pmc03940597-126-6-13
    Average 90 stars, based on 1 article reviews
    metagenomic data simulator dwgsim - by Bioz Stars, 2026-11
    90/100 stars

    Images

    1) Product Images from "Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization"

    Article Title: Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0089323

    The comparison of properties of taxonomical and functional analyses for metagenomic samples.
    Figure Legend Snippet: The comparison of properties of taxonomical and functional analyses for metagenomic samples.

    Techniques Used: Comparison, Functional Assay, Shotgun Sequencing

    Information about simulated metagenomic datasets.
    Figure Legend Snippet: Information about simulated metagenomic datasets.

    Techniques Used:

    Related Articles

    Comparison:

    Article Title: Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization
    Article Snippet: Prevotella tannerae, Veillonella sp., Rothia dentocariosa, Actinomyces odontolyticus, Megasphaera micronuciformis etc. as most abundant species. .. All simulated datasets were created by metagenomic data simulator Dwgsim (Whole Genome Simulation. http://sourceforge.net/apps/mediawiki/dnaa/index.php?title=Whole_Genome_Simulation ) based on randomly selected genomes above with suitable abundances (most abundant 2∼3 species are manually defined, while others are defined randomly). .. And these genome sequences were translated into short reads with 100 bp length and 1% sequencing errors. illustrated the basic information of simulate

    Functional Assay:

    Article Title: Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization
    Article Snippet: Prevotella tannerae, Veillonella sp., Rothia dentocariosa, Actinomyces odontolyticus, Megasphaera micronuciformis etc. as most abundant species. .. All simulated datasets were created by metagenomic data simulator Dwgsim (Whole Genome Simulation. http://sourceforge.net/apps/mediawiki/dnaa/index.php?title=Whole_Genome_Simulation ) based on randomly selected genomes above with suitable abundances (most abundant 2∼3 species are manually defined, while others are defined randomly). .. And these genome sequences were translated into short reads with 100 bp length and 1% sequencing errors. illustrated the basic information of simulate

    Shotgun Sequencing:

    Article Title: Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization
    Article Snippet: Prevotella tannerae, Veillonella sp., Rothia dentocariosa, Actinomyces odontolyticus, Megasphaera micronuciformis etc. as most abundant species. .. All simulated datasets were created by metagenomic data simulator Dwgsim (Whole Genome Simulation. http://sourceforge.net/apps/mediawiki/dnaa/index.php?title=Whole_Genome_Simulation ) based on randomly selected genomes above with suitable abundances (most abundant 2∼3 species are manually defined, while others are defined randomly). .. And these genome sequences were translated into short reads with 100 bp length and 1% sequencing errors. illustrated the basic information of simulate



    Similar Products

    metagenomic data simulator dwgsim  (SourceForge net)
    90
    SourceForge net metagenomic data simulator dwgsim
    The comparison of properties of taxonomical and functional analyses for <t> metagenomic </t> samples.
    Metagenomic Data Simulator Dwgsim, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/metagenomic+data+simulator+dwgsim/metagenomic+data+simulator+dwgsim/pmc03940597-126-6-13
    Average 90 stars, based on 1 article reviews
    metagenomic data simulator dwgsim - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    The comparison of properties of taxonomical and functional analyses for metagenomic samples.

    Journal: PLoS ONE

    Article Title: Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization

    doi: 10.1371/journal.pone.0089323

    Figure Lengend Snippet: The comparison of properties of taxonomical and functional analyses for metagenomic samples.

    Article Snippet: All simulated datasets were created by metagenomic data simulator Dwgsim (Whole Genome Simulation. http://sourceforge.net/apps/mediawiki/dnaa/index.php?title=Whole_Genome_Simulation ) based on randomly selected genomes above with suitable abundances (most abundant 2∼3 species are manually defined, while others are defined randomly).

    Techniques: Comparison, Functional Assay, Shotgun Sequencing

    Information about simulated metagenomic datasets.

    Journal: PLoS ONE

    Article Title: Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization

    doi: 10.1371/journal.pone.0089323

    Figure Lengend Snippet: Information about simulated metagenomic datasets.

    Article Snippet: All simulated datasets were created by metagenomic data simulator Dwgsim (Whole Genome Simulation. http://sourceforge.net/apps/mediawiki/dnaa/index.php?title=Whole_Genome_Simulation ) based on randomly selected genomes above with suitable abundances (most abundant 2∼3 species are manually defined, while others are defined randomly).

    Techniques: