المؤلفون: Anik Dutta, Bruce A. McDonald, Daniel Croll

مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Infectious Diseases, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, zymoseptoria tritici <, wide association studies, single nucleotide polymorphisms, quality genomes covering, nearly linear increase, multiple stressful environments, global distribution range, fungal wheat pathogen, structural genetic variation, adaptive genetic variation, single reference mapping, single reference genomes, multiple reference genomes, genome sequencing data, e ., div >< p, additional loci mapped, mer approach explained, phenotypic variation, genetic architecture, reference genome, performed reference

Relation: https://figshare.com/articles/journal_contribution/Genomic_inflation_factor_estimated_from_genome_wide_association_mapping_using_principal_components_as_covariates_and_without_principal_components_/24578420

الاتاحة: https://doi.org/10.1371/journal.ppat.1011801.s001
https://figshare.com/articles/journal_contribution/Genomic_inflation_factor_estimated_from_genome_wide_association_mapping_using_principal_components_as_covariates_and_without_principal_components_/24578420

المؤلفون: Anik Dutta, Bruce A. McDonald, Daniel Croll

مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Infectious Diseases, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, zymoseptoria tritici <, wide association studies, single nucleotide polymorphisms, quality genomes covering, nearly linear increase, multiple stressful environments, global distribution range, fungal wheat pathogen, structural genetic variation, adaptive genetic variation, single reference mapping, single reference genomes, multiple reference genomes, genome sequencing data, e ., div >< p, additional loci mapped, mer approach explained, phenotypic variation, genetic architecture, reference genome, performed reference

Relation: https://figshare.com/articles/journal_contribution/Comparison_of_heritability_estimates_based_on_SNPs_for_the_reference_genome_IPO323_and_K-mers_/24578429

الاتاحة: https://doi.org/10.1371/journal.ppat.1011801.s004
https://figshare.com/articles/journal_contribution/Comparison_of_heritability_estimates_based_on_SNPs_for_the_reference_genome_IPO323_and_K-mers_/24578429

المؤلفون: Anik Dutta, Bruce A. McDonald, Daniel Croll

مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Infectious Diseases, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, zymoseptoria tritici <, wide association studies, single nucleotide polymorphisms, quality genomes covering, nearly linear increase, multiple stressful environments, global distribution range, fungal wheat pathogen, structural genetic variation, adaptive genetic variation, single reference mapping, single reference genomes, multiple reference genomes, genome sequencing data, e ., div >< p, additional loci mapped, mer approach explained, phenotypic variation, genetic architecture, reference genome, performed reference

Relation: https://figshare.com/articles/journal_contribution/SNP_polymorphism_pattern_surrounding_a_target_gene_that_is_tagged_with_a_significant_SNP_association_/24578426

الاتاحة: https://doi.org/10.1371/journal.ppat.1011801.s003
https://figshare.com/articles/journal_contribution/SNP_polymorphism_pattern_surrounding_a_target_gene_that_is_tagged_with_a_significant_SNP_association_/24578426

المؤلفون: Anik Dutta, Bruce A. McDonald, Daniel Croll

مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Infectious Diseases, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, zymoseptoria tritici <, wide association studies, single nucleotide polymorphisms, quality genomes covering, nearly linear increase, multiple stressful environments, global distribution range, fungal wheat pathogen, structural genetic variation, adaptive genetic variation, single reference mapping, single reference genomes, multiple reference genomes, genome sequencing data, e ., div >< p, additional loci mapped, mer approach explained, phenotypic variation, genetic architecture, reference genome, performed reference

Relation: https://figshare.com/articles/journal_contribution/Upset_plots_showing_the_number_of_genes_identified_in_pathogen_virulence_percentage_of_the_leaf_surface_covered_by_necrotic_lesions_reproduction_pycnidia_density_within_lesions_fungicide_resistance_and_pathogen_melanization_that_are_unique_/24578435

الاتاحة: https://doi.org/10.1371/journal.ppat.1011801.s006
https://figshare.com/articles/journal_contribution/Upset_plots_showing_the_number_of_genes_identified_in_pathogen_virulence_percentage_of_the_leaf_surface_covered_by_necrotic_lesions_reproduction_pycnidia_density_within_lesions_fungicide_resistance_and_pathogen_melanization_that_are_unique_/24578435

المؤلفون: Anik Dutta, Bruce A. McDonald, Daniel Croll

مصطلحات موضوعية: Genetics, Evolutionary Biology, Ecology, Infectious Diseases, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, zymoseptoria tritici <, wide association studies, single nucleotide polymorphisms, quality genomes covering, nearly linear increase, multiple stressful environments, global distribution range, fungal wheat pathogen, structural genetic variation, adaptive genetic variation, single reference mapping, single reference genomes, multiple reference genomes, genome sequencing data, e ., div >< p, additional loci mapped, mer approach explained, phenotypic variation, genetic architecture, reference genome, performed reference

Relation: https://figshare.com/articles/journal_contribution/Alignment_of_significantly_associated_k-mers_against_the_reference_genome_1A5_/24578432

الاتاحة: https://doi.org/10.1371/journal.ppat.1011801.s005
https://figshare.com/articles/journal_contribution/Alignment_of_significantly_associated_k-mers_against_the_reference_genome_1A5_/24578432

المؤلفون: Paul Andrew Johnson, A. Eugene DePrince

مصطلحات موضوعية: Biophysics, Biochemistry, Molecular Biology, Neuroscience, Physiology, Biotechnology, Cancer, Mental Health, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, single reference treatment, outstanding weak correlation, 4 , 10 , strongly correlated isomers, strongly correlated h, zero sector, systematic improvement, reasonable approximation, configuration interaction

Relation: https://figshare.com/articles/journal_contribution/Single_Reference_Treatment_of_Strongly_Correlated_H_sub_4_sub_and_H_sub_10_sub_Isomers_with_Richardson_Gaudin_States/24552362

الاتاحة: https://doi.org/10.1021/acs.jctc.3c00807.s001
https://figshare.com/articles/journal_contribution/Single_Reference_Treatment_of_Strongly_Correlated_H_sub_4_sub_and_H_sub_10_sub_Isomers_with_Richardson_Gaudin_States/24552362

المؤلفون: Congcong Zhang, Li Xu, Qingxia Huang, Yulan Wang, Huiru Tang

مصطلحات موضوعية: Biophysics, Biochemistry, Genetics, Pharmacology, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, using sulfanilic acid, nuclear magnetic resonance, enabling reliable identification, detecting submicromolar analytes, 8 μm analytes, 600 mhz spectrometers, 5 mm tubes, 5 min acquisition, multiple biological matrices, induced sensitivity enhancement, 13 , 1 , c hsqc 2d, 4 – 0, 3 , h –< sup, 10 h ), hsqc ), sensitivity barrier, c abundances, biological systems, widely present, single reference

Relation: https://figshare.com/articles/journal_contribution/Detecting_Submicromolar_Analytes_in_Mixtures_with_a_5_min_Acquisition_on_600_MHz_NMR_Spectrometers/24552867

الاتاحة: https://doi.org/10.1021/jacs.3c07861.s001
https://figshare.com/articles/journal_contribution/Detecting_Submicromolar_Analytes_in_Mixtures_with_a_5_min_Acquisition_on_600_MHz_NMR_Spectrometers/24552867

المؤلفون: Krstić, Marjan, Fink, Karin, Sharapa, Dmitry I.

المصدر: Molecules, 27 (3), Art.-Nr.: 912 ; ISSN: 1420-3049

مصطلحات موضوعية: copper paddle-wheel, HKUST-1, MOF, educts adsorption, binding energies, DFT, single-reference methods, multi-reference system, ddc:530, Physics, info:eu-repo/classification/ddc/530

وصف الملف: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/wos/000757214800001; info:eu-repo/semantics/altIdentifier/issn/1420-3049; https://publikationen.bibliothek.kit.edu/1000142844; https://publikationen.bibliothek.kit.edu/1000142844/145172606; https://doi.org/10.5445/IR/1000142844

الاتاحة: https://publikationen.bibliothek.kit.edu/1000142844
https://publikationen.bibliothek.kit.edu/1000142844/145172606
https://doi.org/10.5445/IR/1000142844

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Impact_of_number_of_causal_variants_in_simulation_study_/19099069

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s003

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/The_distribution_of_weights_for_SWAM_for_three_selected_genes_/19099075

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s005

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Bias-variance_tradeoff_for_other_tissues_/19099072

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s004

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Supplementary_Text_/19099063

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s001

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Simulation_study_with_only_2_causal_variants_/19099084

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s008

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Using_SWAM_to_impute_expression_and_conduct_TWAS_/19099066

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s002

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Calibration_of_tuning_parameter_for_SWAM_using_empirical_data_/19099078

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s006

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Q-Q_plot_of_p-values_for_Liver_tissue_in_LDL_and_T2D_TWAS_/19099087

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s009

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Distribution_of_SWAM_weights_in_imputation_models_for_all_44_GTEx_v6_tissues_/19099081

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s007

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/Evaluation_of_Type_I_errors_across_different_methods_using_simulated_expression_and_genotype_data_/19099090

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s010

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/GTEx_version_8_comparisons_of_single-tissue_and_multi-tissue_imputation_models_using_GEUVADIS_LCL_RNA-Seq_expression_as_validation_/19099099

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s013

المؤلفون: Andrew E. Liu (12024808), Hyun Min Kang (9690325)

مصطلحات موضوعية: Genetics, Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, unravel regulatory impacts, single reference cohort, large eqtl study, effective sample size, depression susceptibility genes, combines arbitrary number, regulatory variants identified, impute expression levels, training imputation models, combined 49 tissue, expression data across, integrating multiple tissues, tested imputation accuracy, imputation accuracy given, transcriptome imputation models, leverage multiple tissues, multiple tissues, tissue expression, level data, genetic variants, gene expression, cannot leverage, transcriptome imputation, imputation method, tissue type, target tissue

Relation: https://figshare.com/articles/journal_contribution/TWAS_association_signals_for_UTMOST_/19099108

الاتاحة: https://doi.org/10.1371/journal.pgen.1009571.s016