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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,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6879478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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