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Dataset Information

Replicate sequencing libraries are important for quantification of allelic imbalance.


ABSTRACT: A sensitive approach to quantitative analysis of transcriptional regulation in diploid organisms is analysis of allelic imbalance (AI) in RNA sequencing (RNA-seq) data. A near-universal practice in such studies is to prepare and sequence only one library per RNA sample. We present theoretical and experimental evidence that data from a single RNA-seq library is insufficient for reliable quantification of the contribution of technical noise to the observed AI signal; consequently, reliance on one-replicate experimental design can lead to unaccounted-for variation in error rates in allele-specific analysis. We develop a computational approach, Qllelic, that accurately accounts for technical noise by making use of replicate RNA-seq libraries. Testing on new and existing datasets shows that app

SUBMITTER: Mendelevich A 

PROVIDER: S-EPMC8184992 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature