A model-based approach for analysis of spatial structure in genetic data.
about
A quantitative comparison of the similarity between genes and geography in worldwide human populationsHuman pigmentation genes under environmental selectionLocalizing Ashkenazic Jews to Primeval Villages in the Ancient Iranian Lands of Ashkenaz.Genetic structure characterization of Chileans reflects historical immigration patternsToward high-resolution population genomics using archaeological samplesA Spatial Framework for Understanding Population Structure and AdmixtureVisualizing spatial population structure with estimated effective migration surfacesEnhanced localization of genetic samples through linkage-disequilibrium correctionGenome-wide signatures of male-mediated migration shaping the Indian gene poolDetecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes DataFast spatial ancestry via flexible allele frequency surfacesInferring ancestry from population genomic data and its applications.Improved ancestry estimation for both genotyping and sequencing data using projection procrustes analysis and genotype imputation.Accurate continuous geographic assignment from low- to high-density SNP data.Inference and Analysis of Population Structure Using Genetic Data and Network TheoryGenome-wide methylation data mirror ancestry information.Adaptive evolution during an ongoing range expansion: the invasive bank vole (Myodes glareolus) in Ireland.Geographic population structure analysis of worldwide human populations infers their biogeographical originsPathway-wide association study identifies five shared pathways associated with schizophrenia in three ancestral distinct populations.Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.The Origins of Ashkenaz, Ashkenazic Jews, and Yiddish.Ancestry estimation and control of population stratification for sequence-based association studies.Selected rapporteur summaries from the XX World Congress of Psychiatric Genetics, Hamburg, Germany, October 14-18, 2012.Genetic characterization of northeastern Italian population isolates in the context of broader European genetic diversityThe convergent evolution of blue iris pigmentation in primates took distinct molecular paths.Reconstructing Druze population history.Spatial localization of recent ancestors for admixed individuals.GAGA: a new algorithm for genomic inference of geographic ancestry reveals fine level population substructure in EuropeansGenome-wide ancestry of 17th-century enslaved Africans from the Caribbean.A spatial haplotype copying model with applications to genotype imputation.Differential Evolution approach to detect recent admixture.Two genomic regions contribute disproportionately to geographic differentiation in wild barleyPotential Signals of Natural Selection in the Top Risk Loci for Coronary Artery Disease: 9p21 and 10q11.Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure.Evolutionary Quantitative Genomics of Populus trichocarpaEnvironmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated SoybeansSpatially Explicit Models to Investigate Geographic Patterns in the Distribution of Forensic STRs: Application to the North-Eastern MediterraneanFast admixture analysis and population tree estimation for SNP and NGS data.Anisotropic isolation by distance: the main orientations of human genetic differentiation.Inferring parental genomic ancestries using pooled semi-Markov processes.
P2860
Q21090207-5F204BA2-949C-496D-9AAA-FC1C1755509CQ26865756-018B84D1-BFAA-4AF2-92A4-91FD52C20BFEQ27301832-961C9D66-3CF8-4766-8C45-8564AF54A312Q28314937-B9E5C01B-6C22-406F-B469-DABA4AA27F62Q28597666-8FB4E4E6-A255-4443-B18E-CA80A18DEA7DQ28602515-8D00E300-20F9-4D93-A887-69FB99949A4DQ28603398-881D2C95-87A8-4322-BBC7-A1467AA64E0AQ28681804-F30DC9FA-024B-495E-82FE-FD3025E9310EQ29035621-E16C9E62-FB35-417B-BA79-7D46063443E2Q29543248-A09B4FF4-1436-4329-82B7-6224309B816EQ30588836-A25DCB0A-FE85-48E8-8FF7-3BC75C3E2181Q30839285-6AB2C7EE-EF86-4FC5-9BE8-3C6237C25EB7Q30961835-BCE8DA1E-6E02-4FCD-A587-3A03341E4DEEQ31029067-0778CEE9-A9EB-42C4-B92E-60B0FF7B4161Q31047279-4E565E6E-0FA7-4D4B-AA58-3A9B3B66A786Q31158833-30D236D9-3A8C-42B4-868A-F20DE0C3E477Q33455678-7ECF3A0B-FA7E-435D-91F8-EE300D991934Q33557046-9463DFF6-F431-4800-99EB-0C760012E1B0Q33707734-A6A4D841-8BFC-46AF-84B4-49D968F4A9B5Q33760308-1ACBB3BE-DA58-479D-9C64-027DCF1F7CACQ33819313-49FEEAB2-BF2A-46E3-85EE-2F690F00D554Q33856061-4682E214-A9A1-4C41-A817-D58EA2B874CFQ33877575-7EEB42C3-2A21-4F01-9049-53E418485961Q34318389-FC0C769D-471D-4FC3-A2F9-583B0B570E9CQ34342693-FA8C59E8-DC31-4723-A5C2-7DCF5A8E075EQ34544775-8B16B7C0-F164-425B-9315-4000AE1015FAQ34714023-B375CE98-3B88-4FC1-B041-25043F681DE1Q35105578-03B2DB7E-9609-4656-93C4-D3BB22B8CE04Q35229460-74582DC1-D293-4FEE-B2D7-9BF8D21E5568Q35586817-2948AA70-A5BE-4B8F-8941-AAC49714D999Q35674657-51561CE4-1119-4866-9DFA-390707ECE301Q35683645-3172584F-F731-4FFA-8BBB-258A5F1CEBE9Q35739974-1C6E27A5-BB50-4A40-B794-193B706EC924Q35818791-311BC5B0-A42D-4BFB-9B26-3D9B3D1818A1Q35850379-5FF580AD-2E6F-46A8-9E85-FAD952A42938Q35906170-B45E2CFF-8FF8-4C4A-8D5A-8A99BA75BFDBQ36206883-D72BCE88-6E5B-4FC2-AE73-91BDBFA5B052Q36320258-4224DB2F-CFE1-4515-9824-D544495B0890Q36586473-81B99DE3-4FF4-4326-BC24-AA8FA6E77092Q36614047-EB96722A-9C48-4FC5-B217-7C73C00ED9C1
P2860
A model-based approach for analysis of spatial structure in genetic data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
A model-based approach for analysis of spatial structure in genetic data.
@ast
A model-based approach for analysis of spatial structure in genetic data.
@en
A model-based approach for analysis of spatial structure in genetic data.
@nl
type
label
A model-based approach for analysis of spatial structure in genetic data.
@ast
A model-based approach for analysis of spatial structure in genetic data.
@en
A model-based approach for analysis of spatial structure in genetic data.
@nl
prefLabel
A model-based approach for analysis of spatial structure in genetic data.
@ast
A model-based approach for analysis of spatial structure in genetic data.
@en
A model-based approach for analysis of spatial structure in genetic data.
@nl
P2093
P2860
P356
P1433
P1476
A model-based approach for analysis of spatial structure in genetic data.
@en
P2093
Eran Halperin
John Novembre
Wen-Yun Yang
P2860
P2888
P304
P356
10.1038/NG.2285
P407
P577
2012-05-20T00:00:00Z
P5875
P6179
1038080612