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tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing

Recent advances in long-read sequencing solve inaccuracies in alternative transcript identification of full-length transcripts in short-read RNA-Seq data, which encourages the development of methods for isoform-centered functional analysis. Here, we present tappAS, the first framework to enable a co...

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Autores principales: de la Fuente, Lorena, Arzalluz-Luque, Ángeles, Tardáguila, Manuel, del Risco, Héctor, Martí, Cristina, Tarazona, Sonia, Salguero, Pedro, Scott, Raymond, Lerma, Alberto, Alastrue-Agudo, Ana, Bonilla, Pablo, Newman, Jeremy R. B., Kosugi, Shunichi, McIntyre, Lauren M., Moreno-Manzano, Victoria, Conesa, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236505/
https://www.ncbi.nlm.nih.gov/pubmed/32423416
http://dx.doi.org/10.1186/s13059-020-02028-w
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author de la Fuente, Lorena
Arzalluz-Luque, Ángeles
Tardáguila, Manuel
del Risco, Héctor
Martí, Cristina
Tarazona, Sonia
Salguero, Pedro
Scott, Raymond
Lerma, Alberto
Alastrue-Agudo, Ana
Bonilla, Pablo
Newman, Jeremy R. B.
Kosugi, Shunichi
McIntyre, Lauren M.
Moreno-Manzano, Victoria
Conesa, Ana
author_facet de la Fuente, Lorena
Arzalluz-Luque, Ángeles
Tardáguila, Manuel
del Risco, Héctor
Martí, Cristina
Tarazona, Sonia
Salguero, Pedro
Scott, Raymond
Lerma, Alberto
Alastrue-Agudo, Ana
Bonilla, Pablo
Newman, Jeremy R. B.
Kosugi, Shunichi
McIntyre, Lauren M.
Moreno-Manzano, Victoria
Conesa, Ana
author_sort de la Fuente, Lorena
collection PubMed
description Recent advances in long-read sequencing solve inaccuracies in alternative transcript identification of full-length transcripts in short-read RNA-Seq data, which encourages the development of methods for isoform-centered functional analysis. Here, we present tappAS, the first framework to enable a comprehensive Functional Iso-Transcriptomics (FIT) analysis, which is effective at revealing the functional impact of context-specific post-transcriptional regulation. tappAS uses isoform-resolved annotation of coding and non-coding functional domains, motifs, and sites, in combination with novel analysis methods to interrogate different aspects of the functional readout of transcript variants and isoform regulation. tappAS software and documentation are available at https://app.tappas.org.
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spelling pubmed-72365052020-05-29 tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing de la Fuente, Lorena Arzalluz-Luque, Ángeles Tardáguila, Manuel del Risco, Héctor Martí, Cristina Tarazona, Sonia Salguero, Pedro Scott, Raymond Lerma, Alberto Alastrue-Agudo, Ana Bonilla, Pablo Newman, Jeremy R. B. Kosugi, Shunichi McIntyre, Lauren M. Moreno-Manzano, Victoria Conesa, Ana Genome Biol Software Recent advances in long-read sequencing solve inaccuracies in alternative transcript identification of full-length transcripts in short-read RNA-Seq data, which encourages the development of methods for isoform-centered functional analysis. Here, we present tappAS, the first framework to enable a comprehensive Functional Iso-Transcriptomics (FIT) analysis, which is effective at revealing the functional impact of context-specific post-transcriptional regulation. tappAS uses isoform-resolved annotation of coding and non-coding functional domains, motifs, and sites, in combination with novel analysis methods to interrogate different aspects of the functional readout of transcript variants and isoform regulation. tappAS software and documentation are available at https://app.tappas.org. BioMed Central 2020-05-18 /pmc/articles/PMC7236505/ /pubmed/32423416 http://dx.doi.org/10.1186/s13059-020-02028-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
de la Fuente, Lorena
Arzalluz-Luque, Ángeles
Tardáguila, Manuel
del Risco, Héctor
Martí, Cristina
Tarazona, Sonia
Salguero, Pedro
Scott, Raymond
Lerma, Alberto
Alastrue-Agudo, Ana
Bonilla, Pablo
Newman, Jeremy R. B.
Kosugi, Shunichi
McIntyre, Lauren M.
Moreno-Manzano, Victoria
Conesa, Ana
tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
title tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
title_full tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
title_fullStr tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
title_full_unstemmed tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
title_short tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
title_sort tappas: a comprehensive computational framework for the analysis of the functional impact of differential splicing
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236505/
https://www.ncbi.nlm.nih.gov/pubmed/32423416
http://dx.doi.org/10.1186/s13059-020-02028-w
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