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  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
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We are analyzing https://link.springer.com/article/10.1186/1471-2105-9-386.

Title:
The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes | BMC Bioinformatics
Description:
Background Random community genomes (metagenomes) are now commonly used to study microbes in different environments. Over the past few years, the major challenge associated with metagenomics shifted from generating to analyzing sequences. High-throughput, low-cost next-generation sequencing has provided access to metagenomics to a wide range of researchers. Results A high-throughput pipeline has been constructed to provide high-performance computing to all researchers interested in using metagenomics. The pipeline produces automated functional assignments of sequences in the metagenome by comparing both protein and nucleotide databases. Phylogenetic and functional summaries of the metagenomes are generated, and tools for comparative metagenomics are incorporated into the standard views. User access is controlled to ensure data privacy, but the collaborative environment underpinning the service provides a framework for sharing datasets between multiple users. In the metagenomics RAST, all users retain full control of their data, and everything is available for download in a variety of formats. Conclusion The open-source metagenomics RAST service provides a new paradigm for the annotation and analysis of metagenomes. With built-in support for multiple data sources and a back end that houses abstract data types, the metagenomics RAST is stable, extensible, and freely available to all researchers. This service has removed one of the primary bottlenecks in metagenome sequence analysis – the availability of high-performance computing for annotating the data. http://metagenomics.nmpdr.org
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {πŸ“š}

  • Education
  • Technology & Computing
  • Science

Content Management System {πŸ“}

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 {πŸ“ˆ}

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 7,626,182 visitors per month in the current month.

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How Does Link.springer.com Make Money? {πŸ’Έ}

We can't figure out the monetization strategy.

Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Link.springer.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {πŸ”}

data, analysis, sequences, google, scholar, article, metagenome, metagenomics, sequence, pubmed, metagenomes, pipeline, server, user, seed, database, phylogenetic, users, annotation, samples, genome, subsystems, edwards, microbial, cas, access, sequencing, subsystem, rast, functional, databases, approach, figure, open, number, results, tools, comparative, service, metabolic, system, central, search, public, mgrast, download, meyer, genomes, protein, source,

Topics {βœ’οΈ}

energy contract de-ac02-06ch11357 heatmap-style color coding genomics standards consortium identifying protein-encoding genes provide high-performance computing open source components variable-length dna fragments interactive web-based services comprehensive search capability full size image mg-rast service handles article download pdf subsystems heat map data-processing problem occurs open source privacy choices/manage cookies de-ac02-06ch11357 bacterial communities isolated summaries automatically generated alexander ec jr ribosomal database project authors’ original file genomic revolution random community genomics mobile genetic elements system supports delegation aziz rk common search algorithms ribosomal rna genes high-performance computing subsystems-based functional analysis mg-rast platform prepare derivative works complete microbial genome ribosomal rna database microbial community structure genomics platform based de crΓ©cy-lagard bmc bioinformatics 9 rna based rdp protein family collection biomed central web-based interface european economic area inherent biases due lower error rate computationally intensive task valid email address fasta files typical generated outpaces increases

Schema {πŸ—ΊοΈ}

WebPage:
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         headline:The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes
         description:Random community genomes (metagenomes) are now commonly used to study microbes in different environments. Over the past few years, the major challenge associated with metagenomics shifted from generating to analyzing sequences. High-throughput, low-cost next-generation sequencing has provided access to metagenomics to a wide range of researchers. A high-throughput pipeline has been constructed to provide high-performance computing to all researchers interested in using metagenomics. The pipeline produces automated functional assignments of sequences in the metagenome by comparing both protein and nucleotide databases. Phylogenetic and functional summaries of the metagenomes are generated, and tools for comparative metagenomics are incorporated into the standard views. User access is controlled to ensure data privacy, but the collaborative environment underpinning the service provides a framework for sharing datasets between multiple users. In the metagenomics RAST, all users retain full control of their data, and everything is available for download in a variety of formats. The open-source metagenomics RAST service provides a new paradigm for the annotation and analysis of metagenomes. With built-in support for multiple data sources and a back end that houses abstract data types, the metagenomics RAST is stable, extensible, and freely available to all researchers. This service has removed one of the primary bottlenecks in metagenome sequence analysis – the availability of high-performance computing for annotating the data. http://metagenomics.nmpdr.org
         datePublished:2008-09-19T00:00:00Z
         dateModified:2008-09-19T00:00:00Z
         pageStart:1
         pageEnd:8
         license:http://creativecommons.org/licenses/by/2.0
         sameAs:https://doi.org/10.1186/1471-2105-9-386
         keywords:
            Metagenome Sequence
            Metabolic Reconstruction
            Open Source System
            Genomic Standard Consortium
            Metagenome Project
            Bioinformatics
            Microarrays
            Computational Biology/Bioinformatics
            Computer Appl. in Life Sciences
            Algorithms
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      headline:The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes
      description:Random community genomes (metagenomes) are now commonly used to study microbes in different environments. Over the past few years, the major challenge associated with metagenomics shifted from generating to analyzing sequences. High-throughput, low-cost next-generation sequencing has provided access to metagenomics to a wide range of researchers. A high-throughput pipeline has been constructed to provide high-performance computing to all researchers interested in using metagenomics. The pipeline produces automated functional assignments of sequences in the metagenome by comparing both protein and nucleotide databases. Phylogenetic and functional summaries of the metagenomes are generated, and tools for comparative metagenomics are incorporated into the standard views. User access is controlled to ensure data privacy, but the collaborative environment underpinning the service provides a framework for sharing datasets between multiple users. In the metagenomics RAST, all users retain full control of their data, and everything is available for download in a variety of formats. The open-source metagenomics RAST service provides a new paradigm for the annotation and analysis of metagenomes. With built-in support for multiple data sources and a back end that houses abstract data types, the metagenomics RAST is stable, extensible, and freely available to all researchers. This service has removed one of the primary bottlenecks in metagenome sequence analysis – the availability of high-performance computing for annotating the data. http://metagenomics.nmpdr.org
      datePublished:2008-09-19T00:00:00Z
      dateModified:2008-09-19T00:00:00Z
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      license:http://creativecommons.org/licenses/by/2.0
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      keywords:
         Metagenome Sequence
         Metabolic Reconstruction
         Open Source System
         Genomic Standard Consortium
         Metagenome Project
         Bioinformatics
         Microarrays
         Computational Biology/Bioinformatics
         Computer Appl. in Life Sciences
         Algorithms
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      author:
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                  address:
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               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
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            address:
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            address:
               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
            type:Organization
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               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
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            name:University of Chicago
            address:
               name:Computation Institute, University of Chicago, Chicago, USA
               type:PostalAddress
            type:Organization
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      affiliation:
            name:Argonne National Laboratory
            address:
               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
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      name:A Rodriguez
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               name:Computation Institute, University of Chicago, Chicago, USA
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            type:Organization
      name:R Stevens
      affiliation:
            name:Argonne National Laboratory
            address:
               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
            type:Organization
            name:University of Chicago
            address:
               name:Computation Institute, University of Chicago, Chicago, USA
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            type:Organization
      name:A Wilke
      affiliation:
            name:University of Chicago
            address:
               name:Computation Institute, University of Chicago, Chicago, USA
               type:PostalAddress
            type:Organization
      name:J Wilkening
      affiliation:
            name:Argonne National Laboratory
            address:
               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
            type:Organization
      name:RA Edwards
      affiliation:
            name:Argonne National Laboratory
            address:
               name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
               type:PostalAddress
            type:Organization
            name:San Diego State University
            address:
               name:Department of Computer Science, San Diego State University, San Diego, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Computation Institute, University of Chicago, Chicago, USA
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
      name:Department of Computer Science, San Diego State University, San Diego, USA

External Links {πŸ”—}(118)

Analytics and Tracking {πŸ“Š}

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CDN Services {πŸ“¦}

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