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Supersplat--spliced RNA-seq alignment.


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 approximately 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. AVAILABILITY: Implemented in C++, supersplat source code and binaries are freely available on the web at http://mocklerlab-tools.cgrb.oregonstate.edu/.

SUBMITTER: Bryant DW 

PROVIDER: S-EPMC2881391 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature

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Supersplat--spliced RNA-seq alignment.

Bryant Douglas W DW   Shen Rongkun R   Priest Henry D HD   Wong Weng-Keen WK   Mockler Todd C TC  

Bioinformatics (Oxford, England) 20100421 12


<h4>Motivation</h4>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.<h4>Results</h4>Using a genomic reference and RNA-seq high-throughput sequencing datasets, supersplat empir  ...[more]

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