Thumbnails:
List:
Year:
Category:
Session:
Poster:
Getting poster data...
Mariana Ascensão-Ferreira, Nuno L. Barbosa-Morais (Instituto de Medicina Molecular João Lobo Antunes - Faculdade de Medicina da Universidade de Lisboa)
Alternative sequence inclusion can be quantified from RNA sequencing (RNA-seq) reads mapping to exon-exon and exon-intron junctions through the ratio between reads supporting inclusion and total reads supporting both inclusion and exclusion. However, such ratios per se do not convey information on the number of reads used in the quantification, although read numbers directly reflect the evidence for transcript abundance. By modelling alternative sequence inclusion with the beta distribution, we actually make the precision of its estimates proportional to the associated coverage and reflected on the significance of differences in alternative splicing between samples. We employed our beta distribution-based differential alternative splicing pipeline in the analysis of public and own RNA-seq datasets and were thus able to rank differentially spliced events according to a compromise between the magnitude of splicing changes and the amount of associated supporting evidence, while plotting the estimated beta distributions provided an intuitive graphical framework for understanding and evaluating that compromise.