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Article

Tools and best practices for data processing in allelic expression analysis.

Genome biology - 17 Sept 2015

Castel Stephane E, Levy-Moonshine Ami, Mohammadi Pejman, Banks Eric, Lappalainen Tuuli

Abstract excerpt

Allelic expression analysis has become important for integrating genome and transcriptome data to characterize various biological phenomena such as cis-regulatory variation and nonsense-mediated decay. We analyze the properties of allelic expression read count data and technical sources of error, such as low-quality or double-counted RNA-seq reads, genotyping errors, allelic mapping bias, and technical covariates...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26381377
DOI: 10.1186/s13059-015-0762-6
PMCID: PMC4574606

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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.

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