We are analyzing https://link.springer.com/protocol/10.1007/978-1-4939-2343-4_9.

Title:
Eukaryotic Glycosylation: Online Methods for Site Prediction on Protein Sequences | SpringerLink
Description:
This chapter runs through several online predictors enabling prediction of glycosylation sites on protein sequences. Most online methods provide in place documentation and examples, but this chapter provides a general overview and workflow for each method.
Website Age:
28 years and 1 months (reg. 1997-05-29).

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Keywords {🔍}

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Topics {✒️}

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Schema {🗺️}

ScholarlyArticle:
      headline:Eukaryotic Glycosylation: Online Methods for Site Prediction on Protein Sequences
      pageEnd:137
      pageStart:127
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-4939-2343-4.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Glycoinformatics
         isbn:
            978-1-4939-2343-4
            978-1-4939-2342-7
         type:Book
      publisher:
         name:Springer New York
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Hiren J. Joshi
            affiliation:
                  name:University of Copenhagen
                  address:
                     name:Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, University of Copenhagen, Copenhagen N, Denmark
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ramneek Gupta
            affiliation:
                  name:Technical University of Denmark
                  address:
                     name:Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      keywords:Glycosylation, Online, Site prediction, Machine learning, Fuzzy motifs
      description:This chapter runs through several online predictors enabling prediction of glycosylation sites on protein sequences. Most online methods provide in place documentation and examples, but this chapter provides a general overview and workflow for each method.
      datePublished:2015
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
      context:https://schema.org
Book:
      name:Glycoinformatics
      isbn:
         978-1-4939-2343-4
         978-1-4939-2342-7
Organization:
      name:Springer New York
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:University of Copenhagen
      address:
         name:Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, University of Copenhagen, Copenhagen N, Denmark
         type:PostalAddress
      name:Technical University of Denmark
      address:
         name:Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Hiren J. Joshi
      affiliation:
            name:University of Copenhagen
            address:
               name:Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, University of Copenhagen, Copenhagen N, Denmark
               type:PostalAddress
            type:Organization
      name:Ramneek Gupta
      affiliation:
            name:Technical University of Denmark
            address:
               name:Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, University of Copenhagen, Copenhagen N, Denmark
      name:Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

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