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{"title"=>"TrueAllele casework on Virginia DNA mixture evidence: Computer and manual interpretation in 72 reported criminal cases", "type"=>"journal", "authors"=>[{"first_name"=>"Mark W.", "last_name"=>"Perlin", "scopus_author_id"=>"7005741892"}, {"first_name"=>"Kiersten", "last_name"=>"Dormer", "scopus_author_id"=>"56150020700"}, {"first_name"=>"Jennifer", "last_name"=>"Hornyak", "scopus_author_id"=>"56149257500"}, {"first_name"=>"Lisa", "last_name"=>"Schiermeier-Wood", "scopus_author_id"=>"56150548300"}, {"first_name"=>"Susan", "last_name"=>"Greenspoon", "scopus_author_id"=>"6602095337"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84899875237", "sgr"=>"84899875237", "issn"=>"19326203", "arxiv"=>"arXiv:1011.1669v3", "doi"=>"10.1371/journal.pone.0092837", "pmid"=>"25246403", "isbn"=>"9788578110796", "pui"=>"373020652"}, "id"=>"874dd84d-04f2-3d7a-9b43-6e84ecde6f1a", "abstract"=>"applicability for this approach.", "link"=>"http://www.mendeley.com/research/trueallele-casework-virginia-dna-mixture-evidence-computer-manual-interpretation-72-reported-crimina", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Master"=>4, "Other"=>3, "Lecturer"=>1, "Student > Ph. D. Student"=>7}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Master"=>4, "Other"=>3, "Lecturer"=>1, "Student > Ph. D. Student"=>7}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>4, "Agricultural and Biological Sciences"=>4, "Medicine and Dentistry"=>2, "Chemistry"=>2, "Psychology"=>1, "Social Sciences"=>8, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Chemistry"=>{"Chemistry"=>2}, "Social Sciences"=>{"Social Sciences"=>8}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Hungary"=>1, "United Kingdom"=>1, "Spain"=>1}, "group_count"=>3}

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• http://doi.org/10.1016/j.fsigen.2016.02.005
• http://doi.org/10.1111/1556-4029.12788
• http://doi.org/10.1016/j.fsigen.2016.01.008
• http://doi.org/10.1016/j.fsigen.2019.03.005
• http://doi.org/10.1111/1556-4029.14204
• http://doi.org/10.1080/03610926.2019.1710760
• http://doi.org/10.1016/j.fsigen.2016.07.016
• http://doi.org/10.1111/1556-4029.12810

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• {"referral"=>"http://www.forensicmag.com/node/18511", "language"=>"", "title"=>"Virginia DNA Mixture Evidence", "type"=>"News", "publication"=>"", "published_on"=>"2014-04-04T00:00:00Z", "link_state"=>"REJECTED"}
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• {"referral"=>"http://www.buzzfeed.com/stephaniemlee/dna-software-code", "language"=>"English", "title"=>"People Are Going To Prison Thanks To DNA Software — But How It Works Is Secret - BuzzFeed News", "type"=>"Blog", "publication"=>"", "published_on"=>"", "link_state"=>""}

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• {"id"=>"496471066953654272", "text"=>"My fave talk at #JSM2014 so far was Mark Perlin on sensible Bayesian models for contaminated DNA evidence. Read this: http://t.co/fzRuijA4Pu", "created_at"=>"2014-08-05T01:41:41Z", "user"=>"robertstats", "user_name"=>"Robert Grant", "user_profile_image"=>"http://pbs.twimg.com/profile_images/482451425188782080/cE5yR2xE_normal.jpeg"}
• {"id"=>"496577664971726848", "text"=>"RT @robertstats: My fave talk at #JSM2014 so far was Mark Perlin on sensible Bayesian models for contaminated DNA evidence. Read this: http…", "created_at"=>"2014-08-05T08:45:15Z", "user"=>"RoyalStatSoc", "user_name"=>"Royal Stat Society", "user_profile_image"=>"http://pbs.twimg.com/profile_images/458914803294027777/4KcRK8L5_normal.jpeg"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/1434857"], "description"=>"<p>Attributes involving STR data usage, genotype inference and match statistic calculation are shown for the TrueAllele, CPI and mCPI methods.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "dna"], "article_id"=>974016, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distinguishing_features_of_three_different_DNA_mixture_interpretation_methods_/974016", "title"=>"Distinguishing features of three different DNA mixture interpretation methods.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434827"], "description"=>"<p>Quantitative DNA mixture data are shown at the Penta E STR locus. The x-axis measures allele fragment size (bp), and the y-axis measures DNA quantity (RFU); a boxed peak number denotes allele length. The two contributor mixture is formed from a 7,14 major genotype and a 10,12 minor genotype. The result is a pattern of peak heights that reflect the underlying genotypes.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>973992, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mixture_data_/973992", "title"=>"Mixture data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434828"], "description"=>"<p>Linear combinations of genotype allele pairs can explain the observed quantitative mixture data. Here, a major 7,14 contributor (blue bars) having twice the DNA as a minor 10,12 contributor (green bars) explains the data well, with a high likelihood value. Alternative genotype choices or combinations would not explain the data as well, and thus have lower likelihood.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>973993, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g002", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Genotype_modeling_/973993", "title"=>"Genotype modeling.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434829"], "description"=>"<p>The purpose of this threshold is to distinguish allelic signal from background noise. Applying the threshold (red line) reduces the quantitative peaks to all-or-none putative allele events (blue bars). The analytical threshold operation eliminates individual peak heights, as well as their collective pattern.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>973994, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g003", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Analytical_threshold_/973994", "title"=>"Analytical threshold.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434837"], "description"=>"<p>A higher threshold level (red line) is used in manual review to address random peak variation by differentiating more certain (blue bars) from less certain peaks. The stochastic threshold removes more STR loci from statistical consideration, which makes less use of the available data.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>973996, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Stochastic_threshold_/973996", "title"=>"Stochastic threshold.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434839"], "description"=>"<p>A histogram shows empirical log(LR) distributions for 101 evidence genotype comparisons relative to 10,000 randomly generated references. There are 1,010,000 data points for each of the three ethnic populations. Note that the negative values are located far to the left of zero.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>973998, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g005", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Computer_specificity_/973998", "title"=>"Computer specificity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434841"], "description"=>"<p>The scatterplot shows log(LR) values for 101 duplicate computer runs on the same evidence. Each point gives the first (x) and second (y) values. The data lie close to the y = x diagonal, which represents exactly replicated results.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>974000, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g006", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Computer_precision_/974000", "title"=>"Computer precision.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434843"], "description"=>"<p>Three histograms show the empirical log(LR) distribution for different mixture interpretation methods on the case data. Frequency distribution (<b>a</b>) shows TrueAllele inferred genotype match statistics for 101 evidence genotype matches (blue). The (<b>b</b>) manual CPI review yielded 81 match statistics (green) that were generally less informative (leftward) and less varied (clustered). The (<b>c</b>) 53 mCPI match statistics (red) gave less information and had similar values.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>974002, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g007", "stats"=>{"downloads"=>3, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Method_sensitivity_/974002", "title"=>"Method sensitivity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434844"], "description"=>"<p>Cumulative empirical log(LR) distributions are shown for uniform probability (black), and for each of the three mixture interpretation methods TrueAllele (blue), CPI (green) and mCPI (red). TrueAllele tracks a uniform distribution over a wide information range, whereas CPI and mCPI do not.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system"], "article_id"=>974003, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.g008", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Method_comparison_/974003", "title"=>"Method comparison.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434845"], "description"=>"<p>Significance tests were done for means (Student t) and medians (Wilcoxon signed rank W). Correlation coefficients (r) and coefficient of determinations (r²) are shown. CPI was significantly more informative than mCPI.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "comparisons", "cpi"], "article_id"=>974004, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t010", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Paired_comparisons_for_positive_log_LR_values_between_CPI_and_mCPI_/974004", "title"=>"Paired comparisons for positive log(LR) values between CPI and mCPI.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434846"], "description"=>"<p><i>Allele dropout</i> and <i>allele overlap</i> record the number of locus occurrences.</p><p><i>Allele dropout</i> occurs when a reference allele does not appear at all in the evidence data.</p><p><i>Allele overlap</i> occurs when known contributors and the reference share alleles.</p><p><i>Low peaks</i>: All had reference-related allele peaks <100 RFU. A 1 indicates peaks <50 RFU.</p><p><i>Peak imbalance</i>: a 1 indicates heterozygote imbalance under 60% at reference alleles.</p><p>An <i>infeasible mixture</i> (1) has an inconsistent mixture weight across loci.</p><p>An <i>infeasible pattern</i> (1) cannot be constructed quantitatively from contributor genotypes.</p><p>Each comparison row gives log(LR) match statistics (ban) for three mixture interpretation methods, and lists observations about how the evidence data interacted with the reference genotype.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "genotype", "comparisons", "trueallele", "did", "having", "lr"], "article_id"=>974005, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t011", "stats"=>{"downloads"=>4, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_are_shown_for_ten_genotype_comparisons_where_TrueAllele_did_not_report_a_match_and_five_others_having_a_small_LR_value_under_a_thousand_/974005", "title"=>"Results are shown for ten genotype comparisons where TrueAllele did not report a match, and five others having a small LR value under a thousand.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434847"], "description"=>"<p>Significance tests were done for means (Student t) and medians (Wilcoxon signed rank W). Correlation coefficients (r) and coefficient of determinations (r²) are shown. TrueAllele was significantly more informative than mCPI.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "comparisons", "trueallele"], "article_id"=>974006, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t009", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Paired_comparisons_for_positive_log_LR_values_between_TrueAllele_TA_and_mCPI_/974006", "title"=>"Paired comparisons for positive log(LR) values between TrueAllele (TA) and mCPI.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434848"], "description"=>"<p>Significance tests were done for means (Student t) and medians (Wilcoxon signed rank W). Correlation coefficients (r) and coefficient of determinations (r²) are shown. TrueAllele was significantly more informative than CPI.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "comparisons", "trueallele"], "article_id"=>974007, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t008", "stats"=>{"downloads"=>11, "page_views"=>28, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Paired_comparisons_for_positive_log_LR_values_between_TrueAllele_TA_and_CPI_/974007", "title"=>"Paired comparisons for positive log(LR) values between TrueAllele (TA) and CPI.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434850"], "description"=>"<p>The TrueAllele method preserved more identification information (mean) over a broader range (minimum, maximum) than the two inclusion methods, and produced more inclusions and persuasive match statistics.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "dna", "genotype", "comparisons", "methods", "cpi"], "article_id"=>974009, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t007", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_log_LR_DNA_match_information_ban_for_genotype_comparisons_is_shown_for_three_mixture_interpretation_methods_TrueAllele_CPI_and_mCPI_/974009", "title"=>"The log(LR) DNA match information (ban) for genotype comparisons is shown for three mixture interpretation methods (TrueAllele, CPI and mCPI).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434851"], "description"=>"<p>The average exclusionary LR value was around one over a billion billion. Very few false positives were seen in over three million genotype comparisons.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "trueallele", "comparing", "101", "genotypes"], "article_id"=>974010, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t006", "stats"=>{"downloads"=>2, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Specificity_results_ban_for_TrueAllele_mixture_interpretation_log_LR_values_comparing_101_reported_evidence_genotypes_with_10_000_random_genotypes_from_each_of_three_ethnic_populations_/974010", "title"=>"Specificity results (ban) for TrueAllele mixture interpretation log(LR) values, comparing 101 reported evidence genotypes with 10,000 random genotypes from each of three ethnic populations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434852"], "description"=>"<p>The binning is done by decile, with each row showing the center of its mixture weight range, along with the number of genotypes in that bin.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "weights", "inferred", "matched"], "article_id"=>974011, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t005", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_frequency_distribution_of_mixture_weights_as_inferred_by_the_computer_is_shown_for_the_matched_genotypes_/974011", "title"=>"The frequency distribution of mixture weights as inferred by the computer is shown for the matched genotypes.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434853"], "description"=>"<p>When an item was consistent with more than one contributor number possibility, that item appears in multiple categories. The last three rows examine overlap situations where the number of contributors (first column) was uncertain, and counts the number of items (second column) in those situations.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "rows", "contributors", "items", "had"], "article_id"=>974012, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t004", "stats"=>{"downloads"=>6, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_first_three_rows_estimate_for_each_number_of_contributors_first_column_how_many_mixture_items_second_column_had_that_contributor_number_/974012", "title"=>"The first three rows estimate for each number of contributors (first column) how many mixture items (second column) had that contributor number.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434854"], "description"=>"<p>For each sample type, the table records how frequently that type was seen.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "types", "92", "items"], "article_id"=>974013, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_range_of_biological_sample_types_that_were_found_in_the_92_evidence_items_is_shown_/974013", "title"=>"The range of biological sample types that were found in the 92 evidence items is shown.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}
• {"files"=>["https://ndownloader.figshare.com/files/1434855"], "description"=>"<p>Three different mixture interpretation methods were used, TrueAllele, CPI and mCPI. Over the sample space of possible allele pairs, each method has a likelihood function and posterior probability distribution. The LR gives the ratio of posterior to prior probability at comparison allele pair 10,12 (italicized row). TrueAllele’s greater LR indicates more use of the STR data than CPI. mCPI discarded too much data, and could not yield a match statistic.</p>", "links"=>[], "tags"=>["bioethics", "Justice in science", "Computational biology", "Evolutionary biology", "population genetics", "genetics", "Human genetics", "Computer applications", "information theory", "Public and occupational health", "mathematics", "Probability theory", "Bayes theorem", "Statistics (mathematics)", "Law and legal sciences", "Criminal justice system", "probabilities", "lr", "calculations", "penta", "locus"], "article_id"=>974014, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Mark W. Perlin", "Kiersten Dormer", "Jennifer Hornyak", "Lisa Schiermeier-Wood", "Susan Greenspoon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092837.t002", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Genotype_probabilities_and_LR_calculations_are_shown_at_the_Penta_E_locus_for_a_minor_contributor_/974014", "title"=>"Genotype probabilities and LR calculations are shown at the Penta E locus for a minor contributor.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:51:26"}

PMC Usage Stats | Further Information

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Relative Metric

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F1000Prime