SUPPA: a super-fast pipeline for alternative splicing analysis from RNA-Seq

  • Alamancos G
  • Pagès A
  • Trincado J
 et al. 
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High-throughput RNA sequencing allows genome-wide analyses of pre-mRNA splicing across multiple conditions. However, the increasing number of available datasets represents a major challenge in terms of time and storage required for analyses. Here we describe SUPPA, a computational pipeline to calculate relative inclusion values of alternative splicing events, exploiting fast transcript quantification of a known annotation. SUPPA provides a fast and accurate approach to calculate inclusion levels of alternative splicing events from a large number of samples, thereby facilitating systematic analyses in the context of large-scale projects using limited computational resources. SUPPA is available at under the MIT license and is implemented in Python 2.7.

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  • Gael P Alamancos

  • Amadís Pagès

  • Juan L Trincado

  • Nicolás Bellora

  • Eduardo Eyras

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