Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort. - Test2 - elhamkhani - TriplyDB

Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort.

Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort.

http://www.wikidata.org/entity/Q34044279

about

The PsychENCODE project Quantitative trait locus analysis of body shape divergence in nine-spined sticklebacks based on high-density SNP-panel Transversions have larger regulatory effects than transitions.Non-Coding Loss-of-Function Variation in Human Genomes.Direct GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome.Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay.Systematic Functional Dissection of Common Genetic Variation Affecting Red Blood Cell Traits Genomic approaches for understanding the genetics of complex disease.CRISPR-Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome.Perspectives in Polycystic Ovary Syndrome: From Hair to Eternity Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.Novel regional age-associated DNA methylation changes within human common disease-associated loci A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity.cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes.The power of multiplexed functional analysis of genetic variants.Decoding transcriptional enhancers: Evolving from annotation to functional interpretation Recent advances in high-throughput approaches to dissect enhancer function Predicting regulatory variants with composite statistic.Systematic identification of regulatory variants associated with cancer risk.QuASAR-MPRA: Accurate allele-specific analysis for massively parallel reporter assays.Quantifying the regulatory effect size of cis-acting genetic variation using allelic fold change.Variant Interpretation: Functional Assays to the Rescue.The effect of genetic variation on promoter usage and enhancer activity.Assessing sufficiency and necessity of enhancer activities for gene expression and the mechanisms of transcription activation.Functional genomics and assays of regulatory activity detect mechanisms at loci for lipid traits and coronary artery disease.High-throughput characterization of genetic effects on DNA-protein binding and gene transcription

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Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort.

http://www.wikidata.org/entity/Q34044279

description

2015 nî lūn-bûn

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2015 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2015 թվականի հունիսին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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Massively parallel quantificat ...... c variation in a human cohort.

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Massively parallel quantificat ...... c variation in a human cohort.

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Massively parallel quantificat ...... c variation in a human cohort.

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Christopher M Vockley

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Cong Guo

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Denise M Scholtens

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Michael Nodzenski

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Timothy E Reddy

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William H Majoros

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William L Lowe

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Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS

An integrated encyclopedia of DNA elements in the human genome

An integrated map of genetic variation from 1,092 human genomes

dbSNP: the NCBI database of genetic variation

Histone H3K27ac separates active from poised enhancers and predicts developmental state

The human genome browser at UCSC

Fast gapped-read alignment with Bowtie 2

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

The Sequence Alignment/Map format and SAMtools

Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals

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1206-1214

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scholarly article

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10.1101/GR.190090.115

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8

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25

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M Geoffrey Hayes

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2015-06-17T00:00:00Z

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4510004

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