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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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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. |
format | Online Article Text |
id | pubmed-7236505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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