Technology-specific error signatures in the 1000 Genomes Project data.
about
Mutanome Engineered RNA Immunotherapy: Towards Patient-Centered Tumor VaccinationEstimating exome genotyping accuracy by comparing to data from large scale sequencing projects.Fine-mapping of IgE-associated loci 1q23, 5q31, and 12q13 using 1000 Genomes Project data.Technology-driven diagnostics: From smart doctor to smartphone.The allele distribution in next-generation sequencing data sets is accurately described as the result of a stochastic branching process.A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project dataHow to infer reliable diploid genotypes from NGS or traditional sequence data: from basic probability to experimental optimization.The genetic basis of DOORS syndrome: an exome-sequencing studyConfidence-based somatic mutation evaluation and prioritizationExploring the association between genetic variation in the SUMO isopeptidase gene USPL1 and breast cancer through integration of data from the population-based GENICA study and external genetic databases.Coverage bias and sensitivity of variant calling for four whole-genome sequencing technologiesThe role of the interactome in the maintenance of deleterious variability in human populationsSensitive and fast mapping of di-base encoded reads.Impact of preanalytic factors on the design and application of integral biomarkers for directing patient therapyOn the structural plasticity of the human genome: chromosomal inversions revisited.Deleterious- and disease-allele prevalence in healthy individuals: insights from current predictions, mutation databases, and population-scale resequencing.Applications of targeted gene capture and next-generation sequencing technologies in studies of human deafness and other genetic disabilities.Mutation detection by clonal sequencing of PCR amplicons and grouped read typing is applicable to clinical diagnostics.Strategies to improve the performance of rare variant association studies by optimizing the selection of controls.Tailored selection of study individuals to be sequenced in order to improve the accuracy of genotype imputation.Missense mutation in the MEN1 gene discovered through whole exome sequencing co-segregates with familial hyperparathyroidism.
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P2860
Technology-specific error signatures in the 1000 Genomes Project data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Technology-specific error signatures in the 1000 Genomes Project data.
@ast
Technology-specific error signatures in the 1000 Genomes Project data.
@en
type
label
Technology-specific error signatures in the 1000 Genomes Project data.
@ast
Technology-specific error signatures in the 1000 Genomes Project data.
@en
prefLabel
Technology-specific error signatures in the 1000 Genomes Project data.
@ast
Technology-specific error signatures in the 1000 Genomes Project data.
@en
P2093
P2860
P50
P1433
P1476
Technology-specific error signatures in the 1000 Genomes Project data.
@en
P2093
Alexander Herrmann
Andreas Wolf
Stefan Schreiber
P2860
P2888
P304
P356
10.1007/S00439-011-0971-3
P577
2011-02-23T00:00:00Z
P5875
P6179
1026729541