Here's how LINK.SPRINGER.COM makes money* and how much!

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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Schema
  9. External Links
  10. Analytics And Tracking
  11. Libraries
  12. CDN Services

We are analyzing https://link.springer.com/article/10.1186/s13059-022-02630-0.

Title:
StrainGE: a toolkit to track and characterize low-abundance strains in complex microbial communities | Genome Biology
Description:
Human-associated microbial communities comprise not only complex mixtures of bacterial species, but also mixtures of conspecific strains, the implications of which are mostly unknown since strain level dynamics are underexplored due to the difficulties of studying them. We introduce the Strain Genome Explorer (StrainGE) toolkit, which deconvolves strain mixtures and characterizes component strains at the nucleotide level from short-read metagenomic sequencing with higher sensitivity and resolution than other tools. StrainGE is able to identify strains at 0.1x coverage and detect variants for multiple conspecific strains within a sample from coverages as low as 0.5x.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Books & Literature
  • Telecommunications

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,642,828 visitors per month in the current month.

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How Does Link.springer.com Make Money? {💸}

The income method remains a mystery to us.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Link.springer.com could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

reference, strains, strain, samples, genome, strainge, sample, straingst, straingr, genomes, coli, database, fig, metagenomic, article, coverage, set, data, acni, single, google, scholar, tools, species, reads, references, midas, additional, allele, threshold, file, tool, similarity, kmers, present, read, including, low, escherichia, ani, pairs, reported, abundance, kmer, metagenomes, bacterial, related, matching, strong, predicted,

Topics {✒️}

}_j}\frac{c_i}{d_{ij}}$$ time-consuming phylogenomic pipelines strain-level microbial detection short-read metagenomic sequencing complex microbial communities include k-mer counts short-read sequencing data builtin prepare-ref tool full size image high-quality supporting reads recover strain-level variation high-quality reference genomes dissecting strain-level diversity plot precision-recall curves microbial communities comprise excluding multi-mappable regions �multi-mappable” read alignments sample k-mer counts jaccard k-mer similarity population genetics popular strain-tracking tool tool called prepare-ref real-world sample sets studying strain-level variation discern strain-level variation article download pdf single-copy core phylogeny healthy human microbiome low abundant uti-causing mother-baby strain sharing single uti-causing strain database k-mers remaining privacy choices/manage cookies k-mer based tool k-mer set ksample gene-level differences metagenomics strain resolution stacked barplot showing identify single-nucleotide variants ultra-sensitive detection infant gut microbiome full access $${\lambda}_j=\frac{1}{\mid { urinary tract infections base quality scores characterize low-abundance strains long-time gut carriage escherichia-specific reference database metagenome shotgun sequenced de novo extraction

Schema {🗺️}

WebPage:
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         headline:StrainGE: a toolkit to track and characterize low-abundance strains in complex microbial communities
         description:Human-associated microbial communities comprise not only complex mixtures of bacterial species, but also mixtures of conspecific strains, the implications of which are mostly unknown since strain level dynamics are underexplored due to the difficulties of studying them. We introduce the Strain Genome Explorer (StrainGE) toolkit, which deconvolves strain mixtures and characterizes component strains at the nucleotide level from short-read metagenomic sequencing with higher sensitivity and resolution than other tools. StrainGE is able to identify strains at 0.1x coverage and detect variants for multiple conspecific strains within a sample from coverages as low as 0.5x.
         datePublished:2022-03-07T00:00:00Z
         dateModified:2022-03-07T00:00:00Z
         pageStart:1
         pageEnd:27
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         sameAs:https://doi.org/10.1186/s13059-022-02630-0
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            Microbiome
            Strain-tracking
            Animal Genetics and Genomics
            Human Genetics
            Plant Genetics and Genomics
            Microbial Genetics and Genomics
            Bioinformatics
            Evolutionary Biology
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      headline:StrainGE: a toolkit to track and characterize low-abundance strains in complex microbial communities
      description:Human-associated microbial communities comprise not only complex mixtures of bacterial species, but also mixtures of conspecific strains, the implications of which are mostly unknown since strain level dynamics are underexplored due to the difficulties of studying them. We introduce the Strain Genome Explorer (StrainGE) toolkit, which deconvolves strain mixtures and characterizes component strains at the nucleotide level from short-read metagenomic sequencing with higher sensitivity and resolution than other tools. StrainGE is able to identify strains at 0.1x coverage and detect variants for multiple conspecific strains within a sample from coverages as low as 0.5x.
      datePublished:2022-03-07T00:00:00Z
      dateModified:2022-03-07T00:00:00Z
      pageStart:1
      pageEnd:27
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         Metagenomics
         Microbiome
         Strain-tracking
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
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                     type:PostalAddress
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                  address:
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                  address:
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                     type:PostalAddress
                  type:Organization
                  name:Delft University of Technology
                  address:
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            name:Ashlee M. Earl
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                  name:Broad Institute
                  address:
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            name:Broad Institute
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      name:Amy J. Pickering
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               type:PostalAddress
            type:Organization
      name:Scott J. Hultgren
      affiliation:
            name:Washington University School of Medicine
            address:
               name:Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Center for Women’s Infectious Disease Research (CWIDR), Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
      name:Abigail L. Manson
      affiliation:
            name:Broad Institute
            address:
               name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
               type:PostalAddress
            type:Organization
      name:Thomas Abeel
      affiliation:
            name:Broad Institute
            address:
               name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
               type:PostalAddress
            type:Organization
            name:Delft University of Technology
            address:
               name:Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
               type:PostalAddress
            type:Organization
      name:Ashlee M. Earl
      url:http://orcid.org/0000-0001-7857-9145
      affiliation:
            name:Broad Institute
            address:
               name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Applied Invention, Cambridge, USA
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, USA
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, USA
      name:Center for Women’s Infectious Disease Research (CWIDR), Washington University School of Medicine, St. Louis, USA
      name:Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
      name:Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, USA
      name:Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance (Levy CIMAR), Tufts University, Boston, USA
      name:Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, USA
      name:Center for Women’s Infectious Disease Research (CWIDR), Washington University School of Medicine, St. Louis, USA
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA
      name:Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
      name:Infectious Disease & Microbiome Program, Broad Institute, Cambridge, USA

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