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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
  12. CDN Services

We are analyzing https://link.springer.com/article/10.1186/s13073-016-0264-5.

Title:
pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens | Genome Medicine
Description:
Cancer immunotherapy has gained significant momentum from recent clinical successes of checkpoint blockade inhibition. Massively parallel sequence analysis suggests a connection between mutational load and response to this class of therapy. Methods to identify which tumor-specific mutant peptides (neoantigens) can elicit anti-tumor T cell immunity are needed to improve predictions of checkpoint therapy response and to identify targets for vaccines and adoptive T cell therapies. Here, we present a flexible, streamlined computational workflow for identification of personalized Variant Antigens by Cancer Sequencing (pVAC-Seq) that integrates tumor mutation and expression data (DNA- and RNA-Seq). pVAC-Seq is available at https://github.com/griffithlab/pVAC-Seq .
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {๐Ÿ“š}

  • Education
  • Science
  • Technology & Computing

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 7,642,828 visitors per month in the current month.

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How Does Link.springer.com Make Money? {๐Ÿ’ธ}

We can't tell how the site generates income.

The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Link.springer.com might have a hidden revenue stream, but it's not something we can detect.

Keywords {๐Ÿ”}

pubmed, article, google, scholar, data, binding, prediction, variant, central, tumor, sequencing, cas, hla, mutations, pvacseq, pipeline, neoantigens, cancer, epitope, sequence, vaccine, peptides, cells, genome, class, somatic, normal, candidates, exome, information, expression, amino, neoantigen, variants, reads, vaf, mutant, affinity, input, analysis, methods, gene, rna, patients, file, filter, epitopes, alleles, based, silico,

Topics {โœ’๏ธ}

max-bundle-lengthโ€‰=โ€‰10000000 --num-threads 4 4 --bamreadcount-min-base-quality 15 ๏ฟฝ--library-type fr-firststrand --bowtie-versionโ€‰=โ€‰2 related subjects full size image variant effect predictor snp effect predictor false-positive filter v1 efficacious patient-oriented immunotherapy adoptively transferred tumor-reactive article download pdf checkpoint blockade therapies checkpoint blockade inhibition checkpoint blockade drugs checkpoint therapy response personal tumor-specific neoantigens pan-specific mhc class rna-seq fragment population gms โ€˜snp-filter v1 12p70-producing dendritic cells pan-specific prediction methods cell-mediated tumor rejection checkpoint blockade response tumor-specific mutant peptides align rna-seq data targeted assembly adapter processing open source code evaluate tumor-specific neoepitopes full access t-cell-dependent mechanism rna prep kit sequence alignment/map format leverages rna-seq data patient-specific vaccines patient-specific hla alleles hamming distance-based score integrating sequencing-based information personalized cancer vaccines somatic variant-calling pipeline silico pvac-seq pipeline cancer vaccines rests national cancer institute high-confidence list melanoma neoantigen-specific pvac-seq pipeline requires mca-induced sarcomas [3 epitope prediction software privacy choices/manage cookies identifying tumor neoantigens

Schema {๐Ÿ—บ๏ธ}

WebPage:
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         headline:pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens
         description:Cancer immunotherapy has gained significant momentum from recent clinical successes of checkpoint blockade inhibition. Massively parallel sequence analysis suggests a connection between mutational load and response to this class of therapy. Methods to identify which tumor-specific mutant peptides (neoantigens) can elicit anti-tumor T cell immunity are needed to improve predictions of checkpoint therapy response and to identify targets for vaccines and adoptive T cell therapies. Here, we present a flexible, streamlined computational workflow for identification of personalized Variant Antigens by Cancer Sequencing (pVAC-Seq) that integrates tumor mutation and expression data (DNA- and RNA-Seq). pVAC-Seq is available at https://github.com/griffithlab/pVAC-Seq .
         datePublished:2016-01-29T00:00:00Z
         dateModified:2016-01-29T00:00:00Z
         pageStart:1
         pageEnd:11
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s13073-016-0264-5
         keywords:
            Epitope Prediction
            Exome Sequence Data
            Variant Effect Predictor
            Variant Allele Fraction
            Checkpoint Blockade Therapy
            Human Genetics
            Metabolomics
            Bioinformatics
            Medicine/Public Health
            general
            Cancer Research
            Systems Biology
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ScholarlyArticle:
      headline:pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens
      description:Cancer immunotherapy has gained significant momentum from recent clinical successes of checkpoint blockade inhibition. Massively parallel sequence analysis suggests a connection between mutational load and response to this class of therapy. Methods to identify which tumor-specific mutant peptides (neoantigens) can elicit anti-tumor T cell immunity are needed to improve predictions of checkpoint therapy response and to identify targets for vaccines and adoptive T cell therapies. Here, we present a flexible, streamlined computational workflow for identification of personalized Variant Antigens by Cancer Sequencing (pVAC-Seq) that integrates tumor mutation and expression data (DNA- and RNA-Seq). pVAC-Seq is available at https://github.com/griffithlab/pVAC-Seq .
      datePublished:2016-01-29T00:00:00Z
      dateModified:2016-01-29T00:00:00Z
      pageStart:1
      pageEnd:11
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s13073-016-0264-5
      keywords:
         Epitope Prediction
         Exome Sequence Data
         Variant Effect Predictor
         Variant Allele Fraction
         Checkpoint Blockade Therapy
         Human Genetics
         Metabolomics
         Bioinformatics
         Medicine/Public Health
         general
         Cancer Research
         Systems Biology
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            name:Jasreet Hundal
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                  address:
                     name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Beatriz M. Carreno
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                  name:Washington University School of Medicine
                  address:
                     name:Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, USA
                     type:PostalAddress
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                     type:PostalAddress
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                  address:
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                     type:PostalAddress
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                  address:
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                  address:
                     name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
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                  address:
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                     type:PostalAddress
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                  address:
                     name:Department of Medicine, Division of Genomics and Bioinformatics, Washington University School of Medicine, St. Louis, USA
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                     name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
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                  address:
                     name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
                     type:PostalAddress
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                  name:Washington University School of Medicine
                  address:
                     name:Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, USA
                     type:PostalAddress
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                     name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
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               type:PostalAddress
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      name:Allegra A. Petti
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      affiliation:
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            address:
               name:Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
      name:Obi L. Griffith
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            name:Washington University School of Medicine
            address:
               name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
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            name:Washington University School of Medicine
            address:
               name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
      name:Elaine R. Mardis
      affiliation:
            name:Washington University School of Medicine
            address:
               name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Department of Medicine, Division of Genomics and Bioinformatics, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
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            name:Washington University School of Medicine
            address:
               name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Malachi Griffith
      affiliation:
            name:Washington University School of Medicine
            address:
               name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
      name:Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, USA
      name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
      name:Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, USA
      name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
      name:Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, USA
      name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
      name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
      name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
      name:Department of Medicine, Division of Genomics and Bioinformatics, Washington University School of Medicine, St. Louis, USA
      name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
      name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
      name:Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, USA
      name:McDonnell Genome Institute, Washington University School of Medicine, St. Louis, USA
      name:Department of Genetics, Washington University School of Medicine, St. Louis, USA
      name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA

External Links {๐Ÿ”—}(209)

Analytics and Tracking {๐Ÿ“Š}

  • Google Tag Manager

Libraries {๐Ÿ“š}

  • Clipboard.js
  • Prism.js

CDN Services {๐Ÿ“ฆ}

  • Crossref

4.56s.