@Article{Denti2018,
author="Denti, Luca
and Rizzi, Raffaella
and Beretta, Stefano
and Vedova, Gianluca Della
and Previtali, Marco
and Bonizzoni, Paola",
title="ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events",
journal="BMC Bioinformatics",
year="2018",
month="Nov",
day="20",
volume="19",
number="1",
pages="444",
abstract="While the reconstruction of transcripts from a sample of RNA-Seq data is a computationally expensive and complicated task, the detection of splicing events from RNA-Seq data and a gene annotation is computationally feasible. This latter task, which is adequate for many transcriptome analyses, is usually achieved by aligning the reads to a reference genome, followed by comparing the alignments with a gene annotation, often implicitly represented by a graph: the splicing graph.",
issn="1471-2105",
doi="10.1186/s12859-018-2436-3",
url="https://doi.org/10.1186/s12859-018-2436-3"
}