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PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data

Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is an accurate and fast method to measure gene expression. Reproducibility of the analyses is the main limitation of RT-qPCR experiments. Galaxy is an open, web-based, genomic workbench for a reproducible, transparent,...

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Detalles Bibliográficos
Autores principales: Zanardi, Nicolò, Morini, Martina, Tangaro, Marco Antonio, Zambelli, Federico, Bosco, Maria Carla, Varesio, Luigi, Eva, Alessandra, Cangelosi, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879478/
https://www.ncbi.nlm.nih.gov/pubmed/31772190
http://dx.doi.org/10.1038/s41598-019-53155-9
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author Zanardi, Nicolò
Morini, Martina
Tangaro, Marco Antonio
Zambelli, Federico
Bosco, Maria Carla
Varesio, Luigi
Eva, Alessandra
Cangelosi, Davide
author_facet Zanardi, Nicolò
Morini, Martina
Tangaro, Marco Antonio
Zambelli, Federico
Bosco, Maria Carla
Varesio, Luigi
Eva, Alessandra
Cangelosi, Davide
author_sort Zanardi, Nicolò
collection PubMed
description Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is an accurate and fast method to measure gene expression. Reproducibility of the analyses is the main limitation of RT-qPCR experiments. Galaxy is an open, web-based, genomic workbench for a reproducible, transparent, and accessible science. Our aim was developing a new Galaxy tool for the analysis of RT-qPCR expression data. Our tool was developed using Galaxy workbench version 19.01 and functions implemented in several R packages. We developed PIPE-T, a new Galaxy tool implementing a workflow, which offers several options for parsing, filtering, normalizing, imputing, and analyzing RT-qPCR data. PIPE-T requires two input files and returns seven output files. We tested the ability of PIPE-T to analyze RT-qPCR data on two example datasets available in the gene expression omnibus repository. In both cases, our tool successfully completed execution returning expected results. PIPE-T can be easily installed from the Galaxy main tool shed or from Docker. Source code, step-by-step instructions, and example files are available on GitHub to assist new users to install, execute, and test PIPE-T. PIPE-T is a new tool suitable for the reproducible, transparent, and accessible analysis of RT-qPCR expression data.
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spelling pubmed-68794782019-12-05 PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data Zanardi, Nicolò Morini, Martina Tangaro, Marco Antonio Zambelli, Federico Bosco, Maria Carla Varesio, Luigi Eva, Alessandra Cangelosi, Davide Sci Rep Article Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is an accurate and fast method to measure gene expression. Reproducibility of the analyses is the main limitation of RT-qPCR experiments. Galaxy is an open, web-based, genomic workbench for a reproducible, transparent, and accessible science. Our aim was developing a new Galaxy tool for the analysis of RT-qPCR expression data. Our tool was developed using Galaxy workbench version 19.01 and functions implemented in several R packages. We developed PIPE-T, a new Galaxy tool implementing a workflow, which offers several options for parsing, filtering, normalizing, imputing, and analyzing RT-qPCR data. PIPE-T requires two input files and returns seven output files. We tested the ability of PIPE-T to analyze RT-qPCR data on two example datasets available in the gene expression omnibus repository. In both cases, our tool successfully completed execution returning expected results. PIPE-T can be easily installed from the Galaxy main tool shed or from Docker. Source code, step-by-step instructions, and example files are available on GitHub to assist new users to install, execute, and test PIPE-T. PIPE-T is a new tool suitable for the reproducible, transparent, and accessible analysis of RT-qPCR expression data. Nature Publishing Group UK 2019-11-26 /pmc/articles/PMC6879478/ /pubmed/31772190 http://dx.doi.org/10.1038/s41598-019-53155-9 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zanardi, Nicolò
Morini, Martina
Tangaro, Marco Antonio
Zambelli, Federico
Bosco, Maria Carla
Varesio, Luigi
Eva, Alessandra
Cangelosi, Davide
PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data
title PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data
title_full PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data
title_fullStr PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data
title_full_unstemmed PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data
title_short PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data
title_sort pipe-t: a new galaxy tool for the analysis of rt-qpcr expression data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879478/
https://www.ncbi.nlm.nih.gov/pubmed/31772190
http://dx.doi.org/10.1038/s41598-019-53155-9
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