Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data.

Genome research - 1 Oct 2011

Skelly Daniel A, Johansson Marnie, Madeoy Jennifer, Wakefield Jon, Akey Joshua M

Abstract excerpt

Variation in gene expression is thought to make a significant contribution to phenotypic diversity among individuals within populations. Although high-throughput cDNA sequencing offers a unique opportunity to delineate the genome-wide architecture of regulatory variation, new statistical methods need to be developed to capitalize on the wealth of information contained in RNA-seq data sets. To this end, we...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alternative Splicing
Share to Bayes Theorem

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Markov Chains

Share to Monte Carlo Method

Share to ROC Curve

Share to Saccharomyces cerevisiae

Share to Saccharomyces cerevisiae Proteins

Share to Sequence Analysis, RNA

Source

Open in PubMed Open full text

Identifiers

PMID: 21873452
DOI: 10.1101/gr.119784.110
PMCID: PMC3202289

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data.PMID 21873452Read ↗

Highly accurate quantification of allelic gene expression for population and disease genetics.Semantic proximity Read ↗

A compendium of methods: Searching allele specific expression via RNA sequencing.Semantic proximity Read ↗

Genome-wide identification of allele-specific effects on gene expression for single and multiple individuals.Semantic proximity Read ↗

Bayesian estimation of allele-specific expression in the presence of phasing uncertainty.Semantic proximity Read ↗

Fully Bayesian analysis of allele-specific RNA-seq data.Semantic proximity Read ↗

aScan: A Novel Method for the Study of Allele Specific Expression in Single Individuals.Semantic proximity Read ↗

A Bayesian approach for estimating allele-specific expression from RNA-Seq data with diploid genomes.Semantic proximity Read ↗

ASEP: gene-based detection of allele-specific expression in a population by RNA-seqSemantic proximity Read ↗

Discovering Single Nucleotide Polymorphisms Regulating Human Gene Expression Using Allele Specific Expression from RNA-seq Data.Semantic proximity Read ↗

ASPEN: Robust detection of allelic dynamics in single cell RNA-seq.Semantic proximity Read ↗

ASEP: Gene-based detection of allele-specific expression across individuals in a population by RNA sequencing.Semantic proximity Read ↗

ASAS-EGB: A statistical framework for estimating allele-specific alternative splicing events using transcriptome data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.