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

Articolo
Data di Pubblicazione:
2019
Citazione:
PIPE-T: a new Galaxy tool for the analysis of RT-qPCR expression data / N. Zanardi, M. Morini, M.A. Tangaro, F. Zambelli, M.C. Bosco, L. Varesio, A. Eva, D. Cangelosi. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 9:1(2019 Nov 26). [10.1038/s41598-019-53155-9]
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.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
N. Zanardi, M. Morini, M.A. Tangaro, F. Zambelli, M.C. Bosco, L. Varesio, A. Eva, D. Cangelosi
Autori di Ateneo:
ZAMBELLI FEDERICO ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/692777
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/692777/1355627/s41598-019-53155-9.pdf
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Settore BIO/11 - Biologia Molecolare
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