<p>FAIR: Functional Analysis at Isoform Resolution by using long read technologies</p>

Lorena de la Fuente; Manuel Tardaguila; Hector del Risco; Cristina Martí; Cecile Pereira; Susana Rodríguez-Navarro; Marisa Macchietto; Ali Mortazavi; Victoria Moreno; Ana Conesa

doi:10.7490/f1000research.1113046.1

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de la Fuente L, Tardaguila M, del Risco H et al. FAIR: Functional Analysis at Isoform Resolution by using long read technologies [version 1; not peer reviewed]. F1000Research 2016, 5:2211 (poster) (https://doi.org/10.7490/f1000research.1113046.1)

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FAIR: Functional Analysis at Isoform Resolution by using long read technologies

Lorena de la Fuente¹, Manuel Tardaguila, Hector del Risco, Cristina Martí, Cecile Pereira, Susana Rodríguez-Navarro , Marisa Macchietto, Ali Mortazavi, Victoria Moreno, Ana Conesa¹

Published 04 Sep 2016 (https://doi.org/10.7490/f1000research.1113046.1)

Author Affiliations

¹ Prince Felipe Research Centre, Spain

Copyright © 2016 de la Fuente L 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 04 Sep 2016

FAIR: Functional Analysis at Isoform Resolution by using long read technologies
[version 1; not peer reviewed]

Lorena de la Fuente¹, Manuel Tardaguila, Hector del Risco, Cristina Martí, Cecile Pereira, Susana Rodríguez-Navarro , Marisa Macchietto, Ali Mortazavi, Victoria Moreno, Ana Conesa¹

Author Affiliations

¹ Prince Felipe Research Centre, Spain

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

PacBio sequencing transcriptome analysis functional annotation of isoforms, functional profiling methods at isoform resolution, differential splicing, neural differentiation

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