Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies. - Wikidata - awgldk - TriplyDB

Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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Genomic Discoveries and Personalized Medicine in Neurological Diseases Alignment of Short Reads: A Crucial Step for Application of Next-Generation Sequencing Data in Precision Medicine Genetic background of patients from a university medical center in Manhattan: implications for personalized medicine KRLMM: an adaptive genotype calling method for common and low frequency variants Volcano plots in analyzing differential expressions with mRNA microarrays.Technical reproducibility of genotyping SNP arrays used in genome-wide association studies A colorectal cancer genome-wide association study in a Spanish cohort identifies two variants associated with colorectal cancer risk at 1p33 and 8p12.The FDA's Experience with Emerging Genomics Technologies-Past, Present, and Future Transcriptional profiling to identify biomarkers of disease and drug response.Standardization efforts enabling next-generation sequencing and microarray based biomarkers for precision medicine.Identifying and mitigating batch effects in whole genome sequencing data.Letter to the editor: expression of concern, reaffirmed.

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

http://www.wikidata.org/entity/Q44112320

description

2010 nî lūn-bûn

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2010年の論文

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年學術文章

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2010年學術文章

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name

Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.

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The Pharmacogenomics Journal

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Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies

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F Goodsaid

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H Hong

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K Miclaus

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L Zhang

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R Wolfinger

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S Vega

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Replication in Genome-Wide Association Studies

A second generation human haplotype map of over 3.1 million SNPs

More powerful procedures for multiple significance testing

Population structure, differential bias and genomic control in a large-scale, case-control association study

Validation and extension of an empirical Bayes method for SNP calling on Affymetrix microarrays.

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.

Quantifying uncertainty in genotype calls

Ranks of genuine associations in whole-genome scans.

Progress and challenges in genome-wide association studies in humans.

Kinesin family member 6 variant Trp719Arg does not associate with angiographically defined coronary artery disease in the Ottawa Heart Genomics Study.

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324-335

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4

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10

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Cesare Furlanello

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2010-08-01T00:00:00Z

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20676070

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