Literature DB >> 31772190

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

Nicolò Zanardi1, Martina Morini1, Marco Antonio Tangaro2, Federico Zambelli2,3, Maria Carla Bosco4, Luigi Varesio1, Alessandra Eva1, Davide Cangelosi5.   

Abstract

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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Year:  2019        PMID: 31772190      PMCID: PMC6879478          DOI: 10.1038/s41598-019-53155-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  6 in total

1.  qRAT: an R-based stand-alone application for relative expression analysis of RT-qPCR data.

Authors:  Daniel Flatschacher; Verena Speckbacher; Susanne Zeilinger
Journal:  BMC Bioinformatics       Date:  2022-07-19       Impact factor: 3.307

2.  A Systematic Approach to Diagnostic Laboratory Software Requirements Analysis.

Authors:  Thomas Krause; Elena Jolkver; Paul Mc Kevitt; Michael Kramer; Matthias Hemmje
Journal:  Bioengineering (Basel)       Date:  2022-03-28

3.  Laniakea: an open solution to provide Galaxy "on-demand" instances over heterogeneous cloud infrastructures.

Authors:  Marco Antonio Tangaro; Giacinto Donvito; Marica Antonacci; Matteo Chiara; Pietro Mandreoli; Graziano Pesole; Federico Zambelli
Journal:  Gigascience       Date:  2020-04-01       Impact factor: 6.524

4.  Circulating exosomal microRNAs as potential biomarkers of hepatic injury and inflammation in a murine model of glycogen storage disease type 1a.

Authors:  Roberta Resaz; Davide Cangelosi; Martina Morini; Daniela Segalerba; Luca Mastracci; Federica Grillo; Maria Carla Bosco; Cristina Bottino; Irma Colombo; Alessandra Eva
Journal:  Dis Model Mech       Date:  2020-09-18       Impact factor: 5.758

5.  Exosomal MicroRNAs as Potential Biomarkers of Hepatic Injury and Kidney Disease in Glycogen Storage Disease Type Ia Patients.

Authors:  Roberta Resaz; Davide Cangelosi; Daniela Segalerba; Martina Morini; Paolo Uva; Maria Carla Bosco; Giuseppe Banderali; Ana Estrella; Corbinian Wanner; David A Weinstein; Annalisa Sechi; Sabrina Paci; Daniela Melis; Maja Di Rocco; Young Mok Lee; Alessandra Eva
Journal:  Int J Mol Sci       Date:  2021-12-28       Impact factor: 5.923

6.  Auto-qPCR; a python-based web app for automated and reproducible analysis of qPCR data.

Authors:  Gilles Maussion; Rhalena A Thomas; Iveta Demirova; Gracia Gu; Eddie Cai; Carol X-Q Chen; Narges Abdian; Theodore J P Strauss; Sabah Kelaï; Angela Nauleau-Javaudin; Lenore K Beitel; Nicolas Ramoz; Philip Gorwood; Thomas M Durcan
Journal:  Sci Rep       Date:  2021-10-29       Impact factor: 4.379

  6 in total

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