A probabilistic disease-gene finder for personal genomes.
about
Improved exome prioritization of disease genes through cross-species phenotype comparisonPhenotype-driven strategies for exome prioritization of human Mendelian disease genes.Rare-variant association analysis: study designs and statistical testsComputational and bioinformatics frameworks for next-generation whole exome and genome sequencingExome sequencing and complex disease: practical aspects of rare variant association studiesA public resource facilitating clinical use of genomesUsing VAAST to identify an X-linked disorder resulting in lethality in male infants due to N-terminal acetyltransferase deficiencyLoss of carbonic anhydrase XII function in individuals with elevated sweat chloride concentration and pulmonary airway diseaseGenomic diversity and evolution of the head crest in the rock pigeonSturge-Weber syndrome and port-wine stains caused by somatic mutation in GNAQGermline mutations in NFKB2 implicate the noncanonical NF-κB pathway in the pathogenesis of common variable immunodeficiencyIdentifying disease mutations in genomic medicine settings: current challenges and how to accelerate progressRare mutations in RINT1 predispose carriers to breast and Lynch syndrome-spectrum cancersIdentification of rare DNA sequence variants in high-risk autism families and their prevalence in a large case/control populationGenome-scale sequencing to identify genes involved in Mendelian disordersA primer for disease gene prioritization using next-generation sequencing dataAnnotate-it: a Swiss-knife approach to annotation, analysis and interpretation of single nucleotide variation in human diseaseBioinformatics for personal genome interpretationSDS, a structural disruption score for assessment of missense variant deleteriousness.An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.Computational solutions for omics data.Unraveling genomic variation from next generation sequencing data.Detecting statistical interaction between somatic mutational events and germline variation from next-generation sequence data.Validation of predicted mRNA splicing mutations using high-throughput transcriptome data.Using VAAST to Identify Disease-Associated Variants in Next-Generation Sequencing Data.A unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data.Prioritization Of Nonsynonymous Single Nucleotide Variants For Exome Sequencing Studies Via Integrative Learning On Multiple Genomic Data.RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data.Next-generation diagnostics and disease-gene discovery with the ExomiserPrioritizing disease-linked variants, genes, and pathways with an interactive whole-genome analysis pipeline.Sorting out sequencing data.VarSifter: visualizing and analyzing exome-scale sequence variation data on a desktop computerExpanding the computational toolbox for mining cancer genomes.gSearch: a fast and flexible general search tool for whole-genome sequencing.Exome-assistant: a rapid and easy detection of disease-related genes and genetic variations from exome sequencing.Molecular genetic testing and the future of clinical genomics.SIMPLEX: cloud-enabled pipeline for the comprehensive analysis of exome sequencing data.Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases.BioBin: a bioinformatics tool for automating the binning of rare variants using publicly available biological knowledge.Pathway analysis of genome-wide data improves warfarin dose prediction.
P2860
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P2860
A probabilistic disease-gene finder for personal genomes.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին 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
A probabilistic disease-gene finder for personal genomes.
@ast
A probabilistic disease-gene finder for personal genomes.
@en
type
label
A probabilistic disease-gene finder for personal genomes.
@ast
A probabilistic disease-gene finder for personal genomes.
@en
prefLabel
A probabilistic disease-gene finder for personal genomes.
@ast
A probabilistic disease-gene finder for personal genomes.
@en
P2093
P2860
P356
P1433
P1476
A probabilistic disease-gene finder for personal genomes
@en
P2093
Barry Moore
Lynn B Jorde
Marc Singleton
Mark Yandell
Martin G Reese
P2860
P304
P356
10.1101/GR.123158.111
P577
2011-06-23T00:00:00Z