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We began analyzing https://academic.oup.com/bioinformatics/article/33/22/3645/3980251, but it redirected us to https://academic.oup.com/bioinformatics/article/33/22/3645/3980251. The analysis below is for the second page.

Title[redir]:
ggseqlogo: a versatile R package for drawing sequence logos | Bioinformatics | Oxford Academic
Description:
AbstractSummary. Sequence logos have become a crucial visualization method for studying underlying sequence patterns in the genome. Despite this, there rem

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sequence, logos, ggseqlogo, package, oxford, dna, logo, visualization, fig, university, ggplot, protein, plots, google, scholar, journals, rna, colour, schemes, letter, press, bioinformatics, binding, worldcat, issue, article, integration, analysis, sites, input, methods, height, custom, generated, amino, crossrefpubmed, permissions, packages, features, pipelines, network, alignments, disease, fonts, multiple, heights, position, examples, acids, sequences,

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ScholarlyArticle:
      context:https://schema.org
      id:https://academic.oup.com/bioinformatics/article/33/22/3645/3980251
      name:ggseqlogo: a versatile R package for drawing sequence logos
      datePublished:2017-07-20
      isPartOf:
         id:https://academic.oup.com/bioinformatics/issue/33/22
         type:PublicationIssue
         issueNumber:22
         datePublished:2017-11-15
         isPartOf:
            id:https://academic.oup.com/bioinformatics/bioinformatics
            type:Periodical
            name:Bioinformatics
            issn:
               1367-4811
      url:https://dx.doi.org/10.1093/bioinformatics/btx469
      inLanguage:en
      copyrightHolder:Oxford University Press
      copyrightYear:2025
      publisher:Oxford University Press
      author:
            name:Wagih, Omar
            affiliation:European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
            type:Person
            sameAs:https://orcid.org/0000-0002-2162-0431
      description:AbstractSummary. Sequence logos have become a crucial visualization method for studying underlying sequence patterns in the genome. Despite this, there rem
      pageStart:3645
      pageEnd:3647
      siteName:OUP Academic
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      headline:ggseqlogo: a versatile R package for drawing sequence logos
      image:https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/bioinformatics/33/22/10.1093_bioinformatics_btx469/3/m_bioinformatics_33_22_3645_f1.jpeg?Expires=1813876913&Signature=CSi1jctD6U3GPhAiFlpt~~kTWGeQ9fdcmSPkBx38LSTYA~5pnp53BhsA29gd9ELHiZsA~e8r-Gw-yVkTz0zcyBloL5NgbWpu-s7A6kYYPdVU1JSs52alZt0iXA52ne4CIB4kA1Psp3pkER5dIxaWBfGNNGYkQZLEgB-gKbSe31uuocIUag3HXoBMFqvam1Ltb2HkQ8xRWH3mvjrL73Vlt2VgAnGfvnjv9uUFe-vgDKkJjwrhFkZdB9rQ4f3Eg2x-DBbk0Mpq33BFa0fN4duArIbmUYTEd5Vf4~JHweP3HgA~j0RgOEA5gwR5ygKQCWU~bsGXi5gCzFNyGMRGqFWc4w__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
      image:alt:Examples of sequence logos generated by ggseqlogo. These include binding sites of the transcription factor RUNX2 (DNA), RNA-binding protein FXR1 (RNA) and protein kinase PRKD1 (amino acids), as well as randomly generated sequences. (a, b) Examples of DNA sequence logos showing the two methods used to calculate letter height (a) relative frequency and (b) information content applied to DNA sequences. (c) An example of custom letter heights plotted using randomly generated data. (d–f) Examples of other supported sequence types including (d) RNA and (e) amino acids. (f) An example of a custom sequence types using numeric characters. (g) Examples of discrete (top) and continuous (bottom) colour schemes applied to highlight hydrophobic residues in an amino acid logo. (h) A small sample of the alternative fonts available in ggseqlogo. (i) A sample of annotations added to a sequence logo. (j) An example of a sequence logo combined with two other plots: a sequence alignment across different species and a bar plot showing positional-conservation of nucleotides
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      issueNumber:22
      datePublished:2017-11-15
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      name:Bioinformatics
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Person:
      name:Wagih, Omar
      affiliation:European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
      sameAs:https://orcid.org/0000-0002-2162-0431

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