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A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape
Successfully integrating transcriptomic experiments is a challenging task with the ultimate goal of analyzing gene expression data in the broader context of all available measurements, all from a single point of access. In its second major release VESPUCCI, the integrated database of gene expression...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908374/ https://www.ncbi.nlm.nih.gov/pubmed/35283898 http://dx.doi.org/10.3389/fpls.2022.815443 |
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author | Moretto, Marco Sonego, Paolo Pilati, Stefania Matus, José Tomás Costantini, Laura Malacarne, Giulia Engelen, Kristof |
author_facet | Moretto, Marco Sonego, Paolo Pilati, Stefania Matus, José Tomás Costantini, Laura Malacarne, Giulia Engelen, Kristof |
author_sort | Moretto, Marco |
collection | PubMed |
description | Successfully integrating transcriptomic experiments is a challenging task with the ultimate goal of analyzing gene expression data in the broader context of all available measurements, all from a single point of access. In its second major release VESPUCCI, the integrated database of gene expression data for grapevine, has been updated to be FAIR-compliant, employing standards and created with open-source technologies. It includes all public grapevine gene expression experiments from both microarray and RNA-seq platforms. Transcriptomic data can be accessed in multiple ways through the newly developed COMPASS GraphQL interface, while the expression values are normalized using different methodologies to flexibly satisfy different analysis requirements. Sample annotations are manually curated and use standard formats and ontologies. The updated version of VESPUCCI provides easy querying and analyzing of integrated grapevine gene expression (meta)data and can be seamlessly embedded in any analysis workflow or tools. VESPUCCI is freely accessible and offers several ways of interaction, depending on the specific goals and purposes and/or user expertise; an overview can be found at https://vespucci.readthedocs.io/. |
format | Online Article Text |
id | pubmed-8908374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89083742022-03-11 A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape Moretto, Marco Sonego, Paolo Pilati, Stefania Matus, José Tomás Costantini, Laura Malacarne, Giulia Engelen, Kristof Front Plant Sci Plant Science Successfully integrating transcriptomic experiments is a challenging task with the ultimate goal of analyzing gene expression data in the broader context of all available measurements, all from a single point of access. In its second major release VESPUCCI, the integrated database of gene expression data for grapevine, has been updated to be FAIR-compliant, employing standards and created with open-source technologies. It includes all public grapevine gene expression experiments from both microarray and RNA-seq platforms. Transcriptomic data can be accessed in multiple ways through the newly developed COMPASS GraphQL interface, while the expression values are normalized using different methodologies to flexibly satisfy different analysis requirements. Sample annotations are manually curated and use standard formats and ontologies. The updated version of VESPUCCI provides easy querying and analyzing of integrated grapevine gene expression (meta)data and can be seamlessly embedded in any analysis workflow or tools. VESPUCCI is freely accessible and offers several ways of interaction, depending on the specific goals and purposes and/or user expertise; an overview can be found at https://vespucci.readthedocs.io/. Frontiers Media S.A. 2022-02-24 /pmc/articles/PMC8908374/ /pubmed/35283898 http://dx.doi.org/10.3389/fpls.2022.815443 Text en Copyright © 2022 Moretto, Sonego, Pilati, Matus, Costantini, Malacarne and Engelen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Moretto, Marco Sonego, Paolo Pilati, Stefania Matus, José Tomás Costantini, Laura Malacarne, Giulia Engelen, Kristof A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape |
title | A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape |
title_full | A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape |
title_fullStr | A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape |
title_full_unstemmed | A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape |
title_short | A COMPASS for VESPUCCI: A FAIR Way to Explore the Grapevine Transcriptomic Landscape |
title_sort | compass for vespucci: a fair way to explore the grapevine transcriptomic landscape |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908374/ https://www.ncbi.nlm.nih.gov/pubmed/35283898 http://dx.doi.org/10.3389/fpls.2022.815443 |
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