GSBS Student Publications

Student Author(s)

Mercedeh Movassagh

GSBS Program

Bioinformatics & Computational Biology

UMMS Affiliation

Program in Bioinformatics and Integrative Biology

Date

12-15-2016

Document Type

Article

Disciplines

Bioinformatics | Computational Biology

Abstract

We introduce RNA2DNAlign, a computational framework for quantitative assessment of allele counts across paired RNA and DNA sequencing datasets. RNA2DNAlign is based on quantitation of the relative abundance of variant and reference read counts, followed by binomial tests for genotype and allelic status at SNV positions between compatible sequences. RNA2DNAlign detects positions with differential allele distribution, suggesting asymmetries due to regulatory/structural events. Based on the type of asymmetry, RNA2DNAlign outlines positions likely to be implicated in RNA editing, allele-specific expression or loss, somatic mutagenesis or loss-of-heterozygosity (the first three also in a tumor-specific setting). We applied RNA2DNAlign on 360 matching normal and tumor exomes and transcriptomes from 90 breast cancer patients from TCGA. Under high-confidence settings, RNA2DNAlign identified 2038 distinct SNV sites associated with one of the aforementioned asymetries, the majority of which have not been linked to functionality before. The performance assessment shows very high specificity and sensitivity, due to the corroboration of signals across multiple matching datasets. RNA2DNAlign is freely available from http://github.com/HorvathLab/NGS as a self-contained binary package for 64-bit Linux systems.

Rights and Permissions

© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. Citation: Nucleic Acids Res. 2016 Dec 15;44(22):e161. Epub 2016 Aug 30. Link to article on publisher's website

DOI of Published Version

10.1093/nar/gkw757

Related Resources

Link to article in PubMed

Journal Title

Nucleic acids research

PubMed ID

27576531

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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