<p>Leveraging transcript quantification for fast computation of alternative splicing profiles</p>

Amadís Pagès; Gael Pérez Alamancos; Juan Luis Trincado; Nicolás Bellora; Eduardo Eyras

doi:10.7490/f1000research.1110074.1

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Pagès A, Alamancos GP, Trincado JL et al. Leveraging transcript quantification for fast computation of alternative splicing profiles [version 1; not peer reviewed]. F1000Research 2015, 4(ISCB Comm J):326 (poster) (https://doi.org/10.7490/f1000research.1110074.1)

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Leveraging transcript quantification for fast computation of alternative splicing profiles

Amadís Pagès, Gael Pérez Alamancos, Juan Luis Trincado, Nicolás Bellora, Eduardo Eyras¹

Published 23 Jul 2015 (https://doi.org/10.7490/f1000research.1110074.1)

Author Affiliations

¹ Pompeu Fabra University, Spain

Copyright © 2015 Pagès A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 23 Jul 2015

Leveraging transcript quantification for fast computation of alternative splicing profiles
[version 1; not peer reviewed]

Amadís Pagès, Gael Pérez Alamancos, Juan Luis Trincado, Nicolás Bellora, Eduardo Eyras¹

Author Affiliations

¹ Pompeu Fabra University, Spain

Presented at

23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

psi, transcript quantification, alternative splicing, exon inclusion calculation

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