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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/gb-2011-12-8-r72.

Title:
TopHat-Fusion: an algorithm for discovery of novel fusion transcripts | Genome Biology
Description:
TopHat-Fusion is an algorithm designed to discover transcripts representing fusion gene products, which result from the breakage and re-joining of two different chromosomes, or from rearrangements within a chromosome. TopHat-Fusion is an enhanced version of TopHat, an efficient program that aligns RNA-seq reads without relying on existing annotation. Because it is independent of gene annotation, TopHat-Fusion can discover fusion products deriving from known genes, unknown genes and unannotated splice variants of known genes. Using RNA-seq data from breast and prostate cancer cell lines, we detected both previously reported and novel fusions with solid supporting evidence. TopHat-Fusion is available at http://tophat-fusion.sourceforge.net/ .
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Science
  • Education
  • Food & Drink

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 7,542,331 visitors per month in the current month.

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

We don’t know how the website earns money.

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 secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

fusion, reads, tophatfusion, fusions, read, pubmed, data, genes, article, figure, gene, cell, reported, file, chromosome, rnaseq, google, scholar, cancer, genome, alignment, pairedend, additional, pairs, point, segment, cas, transcripts, central, table, segments, alignments, mate, number, candidates, found, full, breast, map, false, spanning, supporting, multiple, bowtie, mapping, fusionseq, mcf, line, mapped, original,

Topics {✒️}

keywords=e-mtab-513&expandefo= inter-transcript paired-end reads paired-end rna-seq reads paired-end rna-sequencing related subjects nih grants r01-lm006845 full size image article number r72 article download pdf single-base precision enabled paired-end transcriptome sequencing bcr/abl1 gene fusion bcr-abl1 fusion gene rna-seq data sets aligns rna-seq reads assemble rna-seq reads analyze rna-seq experiments tumor rna-seq data fusion genes homez-myh6 cancer cell lines uhr paired-end reads intra-chromosomal fusion product vcap paired-end reads multiple cell lines rna-seq data set full-length read alignment paired-end reads mapped tophat-fusion website [21] uhr single-end reads open source software differential gene expression mcf7 cell line tophat-fusion outputs alignments breast cancer data sequence alignment/map format full access mcf7 cell lines tophat-fusion prefers reads privacy choices/manage cookies finds events involving download web page base-pair resolution broadway research building discover genes created fusions tophat-fusion missed open-source bowtie finding candidate fusions lder = square root rna sequence analysis paired-end data

Questions {❓}

Schema {🗺️}

WebPage:
      mainEntity:
         headline:TopHat-Fusion: an algorithm for discovery of novel fusion transcripts
         description:TopHat-Fusion is an algorithm designed to discover transcripts representing fusion gene products, which result from the breakage and re-joining of two different chromosomes, or from rearrangements within a chromosome. TopHat-Fusion is an enhanced version of TopHat, an efficient program that aligns RNA-seq reads without relying on existing annotation. Because it is independent of gene annotation, TopHat-Fusion can discover fusion products deriving from known genes, unknown genes and unannotated splice variants of known genes. Using RNA-seq data from breast and prostate cancer cell lines, we detected both previously reported and novel fusions with solid supporting evidence. TopHat-Fusion is available at http://tophat-fusion.sourceforge.net/ .
         datePublished:2011-08-11T00:00:00Z
         dateModified:2011-08-11T00:00:00Z
         pageStart:1
         pageEnd:15
         license:http://creativecommons.org/licenses/by/2.0/
         sameAs:https://doi.org/10.1186/gb-2011-12-8-r72
         keywords:
            Breast Cancer Cell Line
            Fusion Gene
            Fusion Transcript
            Fusion Event
            Mate Pair
            Animal Genetics and Genomics
            Human Genetics
            Plant Genetics and Genomics
            Microbial Genetics and Genomics
            Bioinformatics
            Evolutionary Biology
         image:
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      headline:TopHat-Fusion: an algorithm for discovery of novel fusion transcripts
      description:TopHat-Fusion is an algorithm designed to discover transcripts representing fusion gene products, which result from the breakage and re-joining of two different chromosomes, or from rearrangements within a chromosome. TopHat-Fusion is an enhanced version of TopHat, an efficient program that aligns RNA-seq reads without relying on existing annotation. Because it is independent of gene annotation, TopHat-Fusion can discover fusion products deriving from known genes, unknown genes and unannotated splice variants of known genes. Using RNA-seq data from breast and prostate cancer cell lines, we detected both previously reported and novel fusions with solid supporting evidence. TopHat-Fusion is available at http://tophat-fusion.sourceforge.net/ .
      datePublished:2011-08-11T00:00:00Z
      dateModified:2011-08-11T00:00:00Z
      pageStart:1
      pageEnd:15
      license:http://creativecommons.org/licenses/by/2.0/
      sameAs:https://doi.org/10.1186/gb-2011-12-8-r72
      keywords:
         Breast Cancer Cell Line
         Fusion Gene
         Fusion Transcript
         Fusion Event
         Mate Pair
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
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         name:BioMed Central
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                  name:Johns Hopkins University School of Medicine
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      address:
         name:Center for Bioinformatics and Computational Biology, 3115 Biomolecular Sciences Building #296, University of Maryland, College Park, USA
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      name:Johns Hopkins University School of Medicine
      address:
         name:McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
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      name:Johns Hopkins University School of Medicine
      address:
         name:Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
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      affiliation:
            name:University of Maryland
            address:
               name:Center for Bioinformatics and Computational Biology, 3115 Biomolecular Sciences Building #296, University of Maryland, College Park, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Steven L Salzberg
      affiliation:
            name:University of Maryland
            address:
               name:Center for Bioinformatics and Computational Biology, 3115 Biomolecular Sciences Building #296, University of Maryland, College Park, USA
               type:PostalAddress
            type:Organization
            name:Johns Hopkins University School of Medicine
            address:
               name:McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
               type:PostalAddress
            type:Organization
            name:Johns Hopkins University School of Medicine
            address:
               name:Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Center for Bioinformatics and Computational Biology, 3115 Biomolecular Sciences Building #296, University of Maryland, College Park, USA
      name:Center for Bioinformatics and Computational Biology, 3115 Biomolecular Sciences Building #296, University of Maryland, College Park, USA
      name:McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
      name:Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA

External Links {🔗}(146)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

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CDN Services {📦}

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