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Supersplat--spliced RNA-seq alignment

TitleSupersplat--spliced RNA-seq alignment
Publication TypeJournal Article
Year of Publication2010
AuthorsBryant, D. W., R. Shen, H. D. Priest, W-K. Wong, and T. C. Mockler
JournalBioinformatics
Volume26
Issue12
Pagination1500 - 1505
Date Published06/2010
ISSN1460-2059
Abstract

Motivation: High-throughput sequencing technologies have recently made deep interrogation of expressed transcript sequences practical, both economically and temporally. Identification of intron/exon boundaries is an essential part of genome annotation, yet remains a challenge. Here, we present supersplat, a method for unbiased splice-junction discovery through empirical RNA-seq data.
Results: Using a genomic reference and RNA-seq high-throughput sequencing datasets, supersplat empirically identifies potential splice junctions at a rate of ∼11.4 million reads per hour. We further benchmark the performance of the algorithm by mapping Illumina RNA-seq reads to identify introns in the genome of the reference dicot plant Arabidopsis thaliana and we demonstrate the utility of supersplat for de novo empirical annotation of splice junctions using the reference monocot plant Brachypodium distachyon.

DOI10.1093/bioinformatics/btq206
Short TitleBioinformatics