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

We are analyzing https://link.springer.com/protocol/10.1007/978-1-59745-251-9_12.

Title:
Computational Gene Annotation in New Genome Assemblies Using GeneID | SpringerLink
Description:
The sequence of many eukaryotic genomes is nowadays available from a personal computer to any researcher in the world-wide scientific community. However, the sequences are worthless without the adequate annotation of the biological meaningful elements. The annotation...
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Technology & Computing

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? {💸}

We find it hard to spot revenue streams.

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 {🔍}

google, scholar, article, pubmed, cas, genome, res, gene, sequence, analysis, bioinformatics, database, dna, genes, human, prediction, biol, nucleic, acids, information, protocol, annotation, blanco, nature, issue, privacy, cookies, content, publish, computational, geneid, guigo, drosophila, search, abril, methods, sequences, chapter, genomic, personal, data, log, journal, research, molecular, biology, eukaryotic, genomes, melanogaster, access,

Topics {✒️}

world-wide scientific community early vertebrate proto-karyotype position-specific gap penalties locating protein-coding regions springer science+business media encode pilot project eukaryotic protein-coding genes privacy choices/manage cookies genome annotation assessment computational gene annotation humana press current protocols dna sequence analysis facultat de biologia journal finder publish human genomic dna comparative gene prediction european economic area ciliate paramecium tetraurelia regulate alternative splicing scattered phylogenetic distribution torso rtk signaling complete gene structures expressed sequence tag human dna sequences visualizing genomic annotations universidad de vigo conditions privacy policy recently assembled genome genome duplications revealed drosophila genomic dna biological meaningful elements universitat de barcelona improved gene prediction redundant sequence database ncbi reference sequences accepting optional cookies weight matrix choice post-genomic era specific bioinformatics tools web server issue main content log online protocol blanco journal publish computational tools molecular biology computational prediction chapter log dna sequences

Schema {🗺️}

ScholarlyArticle:
      headline:Computational Gene Annotation in New Genome Assemblies Using GeneID
      pageEnd:261
      pageStart:243
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-59745-251-9.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Bioinformatics for DNA Sequence Analysis
         isbn:
            978-1-59745-251-9
            978-1-58829-910-9
         type:Book
      publisher:
         name:Humana Press
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Enrique Blanco
            affiliation:
                  name:Universitat de Barcelona
                  address:
                     name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Josep F. Abril
            affiliation:
                  name:Universitat de Barcelona
                  address:
                     name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:Gene finding, gene, protein, genome, exon, intron, sequence alignment, annotation pipeline
      description:The sequence of many eukaryotic genomes is nowadays available from a personal computer to any researcher in the world-wide scientific community. However, the sequences are worthless without the adequate annotation of the biological meaningful elements. The annotation of the genes, in particular, is a challenging task that can not be tackled without the aid of specific bioinformatics tools. We present in this chapter a simple protocol mainly based on the combination of the program GeneID and other computational tools to annotate the location of a gene, which was previously annotated in D. melanogaster, in the recently assembled genome of D. yakuba.
      datePublished:2009
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
      context:https://schema.org
Book:
      name:Bioinformatics for DNA Sequence Analysis
      isbn:
         978-1-59745-251-9
         978-1-58829-910-9
Organization:
      name:Humana Press
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Universitat de Barcelona
      address:
         name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
         type:PostalAddress
      name:Universitat de Barcelona
      address:
         name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Enrique Blanco
      affiliation:
            name:Universitat de Barcelona
            address:
               name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
               type:PostalAddress
            type:Organization
      name:Josep F. Abril
      affiliation:
            name:Universitat de Barcelona
            address:
               name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
      name:Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

External Links {🔗}(133)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js

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