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Alternative splicing is involved in many biological phenomena and has been better evidenced due to the development of next-generation sequencing (NGS) technologies (Trapnell et al., 2009). RNA-Seq technologies have facilitated the deep characterization of transcriptomes of several species. However, the huge amount of data generated in each experiment brings challenges for the analysis and interpretation of alternative splicing. This is particularly critical for researchers or research groups that lack bioinformatics expertise.
(Trapnell et al., 2009) TopHat: discovering splice junctions with RNA-Seq. Bioinformatics.
(Kroll et al., 2015) Splicing Express: a software suite for alternative splicing analysis using next-generation sequencing data. PeerJ.