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- July 4, 2019.
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- Version 1 (July 3, 2019 - 14:56).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Lorena de la Fuente1,a,+,
- Ángeles Arzalluz-Luque2,
- Manuel Tardáguila3,a,§,
- Manuel Tardáguila,
- Héctor del Risco3,
- Cristina Martí1,
- Sonia Tarazona2,
- Pedro Salguero1,
- Raymond Scott3,
- Ana Alastrue-Agudo4,
- Pablo Bonilla4,
- Jeremy Newman5,6,
- Lauren McIntyre5,7,
- Victoria Moreno-Manzano4,b and
- Ana Conesa3,5,b,*
- 1Genomics of Gene Expression Laboratory, Prince Felipe Research Center, Valencia, Spain
- 2Department of Statistics and Operational Research, Polytechnical University of Valencia, Valencia, Spain
- 3Department of Microbiology and Cell Science, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA
- 4Neural Regeneration Laboratory, Prince Felipe Research Center, Valencia, Spain
- 5Genetics Institute, University of Florida, Gainesville, Florida, USA
- 6Department of Pathology, University of Florida, Gainesville, Florida, USA
- 7Department of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida, USA
- ↵*Corresponding author: aconesa{at}ufl.edu
↵a These authors contributed equally to this work.
Posted July 04, 2019.
tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
