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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. Questions
  9. Schema
  10. External Links
  11. Analytics And Tracking
  12. Libraries
  13. CDN Services

We are analyzing https://link.springer.com/article/10.1186/1471-2164-15-284.

Title:
ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases | BMC Genomics
Description:
Background Understanding the relationship between the millions of functional DNA elements and their protein regulators, and how they work in conjunction to manifest diverse phenotypes, is key to advancing our understanding of the mammalian genome. Next-generation sequencing technology is now used widely to probe these protein-DNA interactions and to profile gene expression at a genome-wide scale. As the cost of DNA sequencing continues to fall, the interpretation of the ever increasing amount of data generated represents a considerable challenge. Results We have developed ngs.plot โ€“ a standalone program to visualize enrichment patterns of DNA-interacting proteins at functionally important regions based on next-generation sequencing data. We demonstrate that ngs.plot is not only efficient but also scalable. We use a few examples to demonstrate that ngs.plot is easy to use and yet very powerful to generate figures that are publication ready. Conclusions We conclude that ngs.plot is a useful tool to help fill the gap between massive datasets and genomic information in this era of big sequencing data.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {๐Ÿ“š}

  • Education
  • Technology & Computing
  • Telecommunications

Content Management System {๐Ÿ“}

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 {๐Ÿ“ˆ}

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

๐ŸŒ  Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {๐Ÿ’ธ}

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 has a revenue plan, but it's either invisible or we haven't found it.

Keywords {๐Ÿ”}

pubmed, article, google, scholar, regions, file, ngsplot, data, cas, figure, central, genome, coverage, files, gene, bam, tet, genomic, ngs, enrichment, alignment, cell, size, sequencing, additional, samples, tabix, time, rnaseq, human, sites, enhancers, million, bigwig, chipseq, liu, functional, rle, cells, analysis, program, exons, user, hkme, index, dna, elements, alignments, marks, region,

Topics {โœ’๏ธ}

org/packages/release/bioc/html/rsamtools de/users/anders/htseq/doc/index xiaochuan liuย &ย eric nestler cg di-nucleotide percentages tab-delimited text file tab-delimited text files generic tab-delimited files tissue/cell-type specific expression article download pdf google search technology include chip-seq article published online house rna-seq dataset high-throughput assays mediator establish super-enhancers full size image web-based genome browsers cg-rich regions due genomic annotation databases open access license pastor wa multiple chip-seq samples rna-seq sequence alignments friedman brain institute sequence alignment/map format integrating genomic databases drosophila chromatin occur kent wj rna-seq quality control gene/transcript ids/names perform location-based classifications cpg-related promoters [61] 5hmc chip-seq data full access article shen human postmortem tissue chromatin state dynamics open-source project technology transfer office privacy choices/manage cookies generation sequencing revolution authorsโ€™ original file sequence read archive cis-regulatory sequences short read aligner important research topic generation sequencing technology enrichment-based epigenomic data called โ€œbivalentโ€ domains cocaine-induced plasticity

Questions {โ“}

  • Does this mark show any co-occurrence with other marks and do their co-enrichments define gene modules?
  • If a ranked gene list is obtained based on the enrichment of this mark, does it associate with gene expression?
  • Stan AD, Ghose S, Gao XM, Roberts RC, Lewis-Amezcua K, Hatanpaa KJ, Tamminga CA: Human postmortem tissue: what quality markers matter?
  • What is the enrichment of this mark at transcriptional start sites (TSSs) as well as several Kb up- and down-stream?

Schema {๐Ÿ—บ๏ธ}

WebPage:
      mainEntity:
         headline:ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases
         description:Understanding the relationship between the millions of functional DNA elements and their protein regulators, and how they work in conjunction to manifest diverse phenotypes, is key to advancing our understanding of the mammalian genome. Next-generation sequencing technology is now used widely to probe these protein-DNA interactions and to profile gene expression at a genome-wide scale. As the cost of DNA sequencing continues to fall, the interpretation of the ever increasing amount of data generated represents a considerable challenge. We have developed ngs.plot โ€“ a standalone program to visualize enrichment patterns of DNA-interacting proteins at functionally important regions based on next-generation sequencing data. We demonstrate that ngs.plot is not only efficient but also scalable. We use a few examples to demonstrate that ngs.plot is easy to use and yet very powerful to generate figures that are publication ready. We conclude that ngs.plot is a useful tool to help fill the gap between massive datasets and genomic information in this era of big sequencing data.
         datePublished:2014-04-15T00:00:00Z
         dateModified:2014-04-15T00:00:00Z
         pageStart:1
         pageEnd:14
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/1471-2164-15-284
         keywords:
            Next-generation sequencing
            Visualization
            Epigenomics
            Data mining
            Genomic databases
            Life Sciences
            general
            Microarrays
            Proteomics
            Animal Genetics and Genomics
            Microbial Genetics and Genomics
            Plant Genetics and Genomics
         image:
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         isPartOf:
            name:BMC Genomics
            issn:
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                     address:
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                        name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
                        type:PostalAddress
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               name:Xiaochuan Liu
               affiliation:
                     name:Icahn School of Medicine at Mount Sinai
                     address:
                        name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
                        type:PostalAddress
                     type:Organization
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               name:Eric Nestler
               affiliation:
                     name:Icahn School of Medicine at Mount Sinai
                     address:
                        name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
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ScholarlyArticle:
      headline:ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases
      description:Understanding the relationship between the millions of functional DNA elements and their protein regulators, and how they work in conjunction to manifest diverse phenotypes, is key to advancing our understanding of the mammalian genome. Next-generation sequencing technology is now used widely to probe these protein-DNA interactions and to profile gene expression at a genome-wide scale. As the cost of DNA sequencing continues to fall, the interpretation of the ever increasing amount of data generated represents a considerable challenge. We have developed ngs.plot โ€“ a standalone program to visualize enrichment patterns of DNA-interacting proteins at functionally important regions based on next-generation sequencing data. We demonstrate that ngs.plot is not only efficient but also scalable. We use a few examples to demonstrate that ngs.plot is easy to use and yet very powerful to generate figures that are publication ready. We conclude that ngs.plot is a useful tool to help fill the gap between massive datasets and genomic information in this era of big sequencing data.
      datePublished:2014-04-15T00:00:00Z
      dateModified:2014-04-15T00:00:00Z
      pageStart:1
      pageEnd:14
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/1471-2164-15-284
      keywords:
         Next-generation sequencing
         Visualization
         Epigenomics
         Data mining
         Genomic databases
         Life Sciences
         general
         Microarrays
         Proteomics
         Animal Genetics and Genomics
         Microbial Genetics and Genomics
         Plant Genetics and Genomics
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2F1471-2164-15-284/MediaObjects/12864_2014_Article_5966_Fig1_HTML.jpg
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      isPartOf:
         name:BMC Genomics
         issn:
            1471-2164
         volumeNumber:15
         type:
            Periodical
            PublicationVolume
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         name:BioMed Central
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Li Shen
            affiliation:
                  name:Icahn School of Medicine at Mount Sinai
                  address:
                     name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            name:Ningyi Shao
            affiliation:
                  name:Icahn School of Medicine at Mount Sinai
                  address:
                     name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Xiaochuan Liu
            affiliation:
                  name:Icahn School of Medicine at Mount Sinai
                  address:
                     name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Eric Nestler
            affiliation:
                  name:Icahn School of Medicine at Mount Sinai
                  address:
                     name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
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         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
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      name:Icahn School of Medicine at Mount Sinai
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         name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
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      name:Icahn School of Medicine at Mount Sinai
      address:
         name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
         type:PostalAddress
      name:Icahn School of Medicine at Mount Sinai
      address:
         name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
         type:PostalAddress
      name:Icahn School of Medicine at Mount Sinai
      address:
         name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
         type:PostalAddress
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      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Li Shen
      affiliation:
            name:Icahn School of Medicine at Mount Sinai
            address:
               name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Ningyi Shao
      affiliation:
            name:Icahn School of Medicine at Mount Sinai
            address:
               name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
               type:PostalAddress
            type:Organization
      name:Xiaochuan Liu
      affiliation:
            name:Icahn School of Medicine at Mount Sinai
            address:
               name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
               type:PostalAddress
            type:Organization
      name:Eric Nestler
      affiliation:
            name:Icahn School of Medicine at Mount Sinai
            address:
               name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
      name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
      name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
      name:Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA

External Links {๐Ÿ”—}(285)

Analytics and Tracking {๐Ÿ“Š}

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Libraries {๐Ÿ“š}

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CDN Services {๐Ÿ“ฆ}

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