Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns
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{"title"=>"Genome-wide analysis of promoters: Clustering by alignment and analysis of regular patterns", "type"=>"journal", "authors"=>[{"first_name"=>"Lucia", "last_name"=>"Pettinato", "scopus_author_id"=>"56149885200"}, {"first_name"=>"Elisa", "last_name"=>"Calistri", "scopus_author_id"=>"37561012700"}, {"first_name"=>"Francesca", "last_name"=>"Di Patti", "scopus_author_id"=>"9843106000"}, {"first_name"=>"Roberto", "last_name"=>"Livi", "scopus_author_id"=>"35601560600"}, {"first_name"=>"Stefano", "last_name"=>"Luccioli", "scopus_author_id"=>"56588903700"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"373020739", "sgr"=>"84899865528", "pmid"=>"24465517", "scopus"=>"2-s2.0-84899865528", "doi"=>"10.1371/journal.pone.0085260", "issn"=>"19326203"}, "id"=>"51eb18ac-f917-3808-bd50-94281f42f04b", "abstract"=>"In this paper we perform a genome-wide analysis of H. sapiens promoters. To this aim, we developed and combined two mathematical methods that allow us to (i) classify promoters into groups characterized by specific global structural features, and (ii) recover, in full generality, any regular sequence in the different classes of promoters. One of the main findings of this analysis is that H. sapiens promoters can be classified into three main groups. Two of them are distinguished by the prevalence of weak or strong nucleotides and are characterized by short compositionally biased sequences, while the most frequent regular sequences in the third group are strongly correlated with transposons. Taking advantage of the generality of these mathematical procedures, we have compared the promoter database of H. sapiens with those of other species. We have found that the above-mentioned features characterize also the evolutionary content appearing in mammalian promoters, at variance with ancestral species in the phylogenetic tree, that exhibit a definitely lower level of differentiation among promoters.", "link"=>"http://www.mendeley.com/research/genomewide-analysis-promoters-clustering-alignment-analysis-regular-patterns", "reader_count"=>20, "reader_count_by_academic_status"=>{"Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Master"=>2, "Other"=>2, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Master"=>2, "Other"=>2, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>4, "Mathematics"=>1, "Agricultural and Biological Sciences"=>12, "Medicine and Dentistry"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>12}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}, "Mathematics"=>{"Mathematics"=>1}}, "reader_count_by_country"=>{"United States"=>2}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1356276"], "description"=>"<p>We report the percentage of promoters of the cluster in which the sequence appears at least once (left column), and the percentage of times the sequence is found inside a transposon (right column): it is calculated dividing the number of times it appears in a transposon by the total number of times it appears in the cluster.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "sequences", "clusters"], "article_id"=>908768, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g005", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_most_frequent_regular_sequences_found_in_the_clusters_of_H_sapiens_/908768", "title"=>"The most frequent regular sequences found in the clusters of <i>H. sapiens</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356274"], "description"=>"<p><b>A.</b> Average fraction of the promoter occupied by regular sequences. <b>B</b>. Number of promoters within the clusters.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "sequences", "clusters", "promoters"], "article_id"=>908766, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g004", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Occurrence_of_regular_sequences_in_the_clusters_of_promoters_of_different_species_/908766", "title"=>"Occurrence of regular sequences in the clusters of promoters of different species.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356271"], "description"=>"<p>BCA of the entire repertoire of human promoters (panel <b>A</b>) and of the two sets of TATA and TATA-less promoters (panels <b>B</b> and <b>C</b>). We report the frequency of each of the four nucleotides A (black), T (blue), C (red) and G (green) as a function of the position along the promoter (0 corresponds to the TSS). Figure from <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0085260#pone.0085260-Calistri1\" target=\"_blank\">[15]</a>.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms"], "article_id"=>908763, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BCA_of_human_promoters_/908763", "title"=>"BCA of human promoters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356270"], "description"=>"<p>Each point represents a promoter of the sample. <b>A</b>. The color code represents the four clusters. <b>B</b>. The color code represents the TATA (blue dots) and TATA–less (orange dots) classification.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "points", "clustering", "alignment", "2880"], "article_id"=>908762, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_points_in_the_clustering_space_see_Methods_relative_to_the_alignment_of_2880_human_promoters_/908762", "title"=>"Distribution of points in the clustering space (see Methods) relative to the alignment of 2880 human promoters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356282"], "description"=>"<p>The regular sequences (highlighted in the black frames) are determined by the <i>delocalized</i> eigenvectors of the Hessian matrix. For the sake of clarity, for each of the three examples shown here we report just two of the eigenvectors, whose total number is 10 (green case), 16 (blue case) and 16 (red case). The sequence of the promoter is reported both in quaternary and in binary code. The curves refer to eigenvectors n. 988, 577, 567, 998, 946, 627 (resp. from the top to the bottom) of promoter with Entrez GeneID 9542 of <i>H. sapiens</i>.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "disordered", "sequences"], "article_id"=>908774, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g010", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regular_and_disordered_sequences_of_a_promoter_/908774", "title"=>"Regular and disordered sequences of a promoter.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356278"], "description"=>"<p>First eigenvalues in ascending order of the normalized Laplacian matrix relative to the alignment of 2880 <i>H. sapiens</i> promoters. The method used is the Needleman–Wunsch with GAPOPEN and GAPEXTEND for panel <b>A</b>, GAPEXTEND for panel <b>B</b>.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "laplacian"], "article_id"=>908770, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g007", "stats"=>{"downloads"=>0, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Eigenvalues_of_the_Laplacian_matrix_/908770", "title"=>"Eigenvalues of the Laplacian matrix.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356272"], "description"=>"<p>We report the frequency of each of the four nucleotides A (black), T (blue), C (red) and G (green) as a function of the position along the promoter (0 corresponds to the TSS).</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "clusters", "clustering", "algorithm"], "article_id"=>908764, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BCA_of_each_of_the_clusters_obtained_with_the_clustering_algorithm_for_H_sapiens_/908764", "title"=>"BCA of each of the clusters obtained with the clustering algorithm for <i>H. sapiens</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356290", "https://ndownloader.figshare.com/files/1356291", "https://ndownloader.figshare.com/files/1356292", "https://ndownloader.figshare.com/files/1356293", "https://ndownloader.figshare.com/files/1356294", "https://ndownloader.figshare.com/files/1356295", "https://ndownloader.figshare.com/files/1356296", "https://ndownloader.figshare.com/files/1356297", "https://ndownloader.figshare.com/files/1356298", "https://ndownloader.figshare.com/files/1356299", "https://ndownloader.figshare.com/files/1356300", "https://ndownloader.figshare.com/files/1356301", "https://ndownloader.figshare.com/files/1356302", "https://ndownloader.figshare.com/files/1356303"], "description"=>"<div><p>In this paper we perform a genome-wide analysis of <i>H. sapiens</i> promoters. To this aim, we developed and combined two mathematical methods that allow us to (i) classify promoters into groups characterized by specific global structural features, and (ii) recover, in full generality, any regular sequence in the different classes of promoters. One of the main findings of this analysis is that <i>H. sapiens</i> promoters can be classified into three main groups. Two of them are distinguished by the prevalence of weak or strong nucleotides and are characterized by short compositionally biased sequences, while the most frequent regular sequences in the third group are strongly correlated with transposons. Taking advantage of the generality of these mathematical procedures, we have compared the promoter database of <i>H. sapiens</i> with those of other species. We have found that the above-mentioned features characterize also the evolutionary content appearing in mammalian promoters, at variance with ancestral species in the phylogenetic tree, that exhibit a definitely lower level of differentiation among promoters.</p></div>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "clustering", "alignment"], "article_id"=>908791, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0085260.s001", "https://dx.doi.org/10.1371/journal.pone.0085260.s002", "https://dx.doi.org/10.1371/journal.pone.0085260.s003", "https://dx.doi.org/10.1371/journal.pone.0085260.s004", "https://dx.doi.org/10.1371/journal.pone.0085260.s005", "https://dx.doi.org/10.1371/journal.pone.0085260.s006", "https://dx.doi.org/10.1371/journal.pone.0085260.s007", "https://dx.doi.org/10.1371/journal.pone.0085260.s008", "https://dx.doi.org/10.1371/journal.pone.0085260.s009", "https://dx.doi.org/10.1371/journal.pone.0085260.s010", "https://dx.doi.org/10.1371/journal.pone.0085260.s011", "https://dx.doi.org/10.1371/journal.pone.0085260.s012", "https://dx.doi.org/10.1371/journal.pone.0085260.s013", "https://dx.doi.org/10.1371/journal.pone.0085260.s014"], "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Genome_Wide_Analysis_of_Promoters_Clustering_by_Alignment_and_Analysis_of_Regular_Patterns_/908791", "title"=>"Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356281"], "description"=>"<p>Determination of the effective extension (region in between the dashed lines) of a <i>delocalized</i> eigenvector overlying regular sequences. Notice the very small components of the eigenvectors aside the regular region. A portion of the sequence is reported both in quaternary and in binary code. Data refer to the promoter of <i>H. sapiens</i> with Entrez GeneID 54808 (the promoter of the dymeclin gene).</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms"], "article_id"=>908773, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g009", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Start_site_and_end_site_of_an_eigenvector_/908773", "title"=>"Start site and end site of an eigenvector.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356280"], "description"=>"<p>The eigenvector , in panel <b>A</b>, has comparable values of participation number and extension ( and ), while the eigenvector , in panel <b>B</b>, has a small participation number, , but very large extension (). In the insets an enlargement of the region of delocalization is shown. Data refer to the promoter of <i>H. sapiens</i> with Entrez GeneID 9542 (the promoter of the neuregulin-2 gene). Entrez Gene is the gene-specific database at the National Center of Biotechnology Information (NCBI) <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0085260#pone.0085260-Maglott1\" target=\"_blank\">[76]</a>.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "hessian", "matrix"], "article_id"=>908772, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g008", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Eigenvectors_of_the_Hessian_matrix_with_different_properties_of_delocalization_/908772", "title"=>"Eigenvectors of the Hessian matrix with different properties of delocalization.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1356277"], "description"=>"<p>We report the total percentage of nucleotides in the cluster covered by transposons (pie chart) and the percentage of nucleotides covered by each family of transposons (histogram). Note the different scales in the histograms.</p>", "links"=>[], "tags"=>["Computational biology", "genomics", "Comparative genomics", "Molecular genetics", "Gene regulation", "Sequence analysis", "genetics", "Human genetics", "Genome complexity", "Applied mathematics", "algorithms", "transposons", "clusters"], "article_id"=>908769, "categories"=>["Biological Sciences", "Mathematics"], "users"=>["Lucia Pettinato", "Elisa Calistri", "Francesca Di Patti", "Roberto Livi", "Stefano Luccioli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085260.g006", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_the_different_families_of_transposons_in_the_four_clusters_of_H_sapiens_/908769", "title"=>"Distribution of the different families of transposons in the four clusters of <i>H. sapiens</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-22 03:55:09"}

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Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[291]}, {"subject_area"=>"/Biology and life sciences/Biochemistry", "average_usage"=>[282]}, {"subject_area"=>"/Biology and life sciences/Genetics", "average_usage"=>[306, 482]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[286]}]}
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