<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><contact_person>Claudio M Bravi</contact_person><full_dataset_link>https://ega-archive.org/dacs/EGAC00001000426</full_dataset_link><host>EGA</host><description>EGA DAC EGAC00001000426</description><repository>EGA</repository><email>cmbravi@yahoo.com.ar</email><pubmed_abstract>Reduced representation sequencing methods such as genotyping-by-sequencing (GBS) enable low-cost measurement of genetic variation without the need for a reference genome assembly. These methods are widely used in genetic mapping and population genetics studies, especially with non-model organisms. Variant calling error rates, however, are higher in GBS than in standard sequencing, in particular due to restriction site polymorphisms, and few computational tools exist that specifically model and correct these errors. We developed a statistical method to remove errors caused by restriction site polymorphisms, implemented in the software package GBStools. We evaluated it in several simulated data sets, varying in number of samples, mean coverage and population mutation rate, and in two empirical human data sets (N = 8 and N = 63 samples). In our simulations, GBStools improved genotype accuracy more than commonly used filters such as Hardy-Weinberg equilibrium p-values. GBStools is most effective at removing genotype errors in data sets over 100 samples when coverage is 40X or higher, and the improvement is most pronounced in species with high genomic diversity. We also demonstrate the utility of GBS and GBStools for human population genetic inference in Argentine populations and reveal widely varying individual ancestry proportions and an excess of singletons, consistent with recent population growth.</pubmed_abstract><pubmed_title>GBStools: A Statistical Method for Estimating Allelic Dropout in Reduced Representation Sequencing Data.</pubmed_title><pubmed_authors>Cooke Thomas F TF, Yee Muh-Ching MC, Muzzio Marina M, Sockell Alexandra A, Bell Ryan R, Cornejo Omar E OE, Kelley Joanna L JL, Bailliet Graciela G, Bravi Claudio M CM, Bustamante Carlos D CD, Kenny Eimear E EE</pubmed_authors><name_synonyms>fbwd4, Genetic Variations, l(2)04454, DmelCG1772, dac, Variations, CIB1, conformation, Diversities, p21[dacapo], dactylin, E130112M23Rik, cdi4, School-Age, Genetic Diversities., dactylyn, School Age, p21, CG1772, FBWD4, Cdi4, CDI4, p27, Decapo, study, School-Age Populations, Populations, Diversity, Genetic, shsf3, shfm3, E(Sev-CycE)2B, Fbw4, Genetic Diversity, FBW4, Population, School Age Populations, Dach, CDKN2B, SHFM3, Dac, DAC, p27[Dap], dacapo/cyclin-dependent kinase interactor 4, AI182278, Dap, CES5A1, P15, School-Age Population, fbw4, School Age Population, SHSF3, Variation</name_synonyms><pubmed_title_synonyms>plan specification, small, Study, method, Techniques, Methodological Studies, Procedures, reduced, Method, method used in an experiment, Studies, hypoplasia, tiny, underdeveloped., Methodological, Procedure, Technique, Methodological Study</pubmed_title_synonyms><pubmed_abstract_synonyms>Population Explosions, human being, Procedures, number, Cost Comparisons, Past, Measure, Computer, Cost-Minimization, Mutation Frequency, post-infective polyneuritis, Human, School-Age, Techniques, method, Rate, reduced, Cost Minimization Analysis, Homo sapiens, Method, method used in an experiment, Studies, Mutation Frequencies, Low, Software Engineering, tiny, Analysis, Cost Comparison, Technique, Man, Computer Program, Application, Open Source Softwares, School-Age Populations, me75, Growth, Diversity, Genetic, Man (Taxonomy), Analyses, Genomes, Cost Measures, Natural, Software Application, Baby Booms, Cost-Minimization Analyses, Affordability, Open, Natural Increases, hypoplasia, Open Source Software, Computer Programs and Programming, Measures, Comparison, Natural Increase, procedures, financing, Population, Trends, D17Mit170, T1, Genotypes, Computer Software Application, genetic, Study, Cost Analysis, funding, Baby Busts, Methodological Studies, Tools, Explosions, flr, Population Growth and Natural Resources, site, species, Comparisons, School Age Population, Affordabilities, constitutitional genetic, Frequency, Variation, small, Genetic Variations, Applications Software, fees, Open Source, Baby Boom, High Fertility Population, cou, Variations, Computer Software, Baby Bust, Modern, familial, Diversities, argentine, Procedure, Tl3, Tl2, Source Softwares, Software Tools, Tool, Programs, Population Explosion, High Fertility, Program, Computer Applications, Explosion, Software Tool, Lr, Trend, Genogroup, Past., Frequencies, School Age, Computer Applications Software, Genetic Diversities, Mutation Rates, Computer Applications Softwares, post-infectious polyneuritis, techniques, Softwares, Software, Mutation, finances, region, Costs and Cost Analyses, Costs, Rates, Increases, Populations, Past Trend, Software Applications, underdeveloped, Zero Population Growth, Cost, Source Software, Engineering, Cost-Minimization Analysis, salaries, Methodological, Pricing, whole genome, Genetic Diversity, GBS, Methodological Study, School Age Populations, human, High Fertility Populations, plan specification, Computer Programs, Gbeta5, Past Trends, cost, Genogroups, Applications, Population Size and Growth, Applications Softwares, Increase, Modern Man, postinfectious polyneuritis, cardinality, Bra, inherited genetic, School-Age Population, financial management, Cost Measure, hereditary, methodology, Cost Analyses, Computer Software Applications</pubmed_abstract_synonyms></additional><is_claimable>false</is_claimable><name>DAC for study Population Structure and Genetic Diversity in Argentinean populations</name><description>Data Access Committee EGAC00001000426</description><dates><output>2025-1-9</output></dates><accession>EGAC00001000426</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>26828719</pubmed><EGA>EGAS00001001663</EGA><EGA>EGAD00010001075</EGA></cross_references></HashMap>