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NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data

Motivation: The NanoString nCounter Platform is a new and promising technology for measuring nucleic acid abundances. It has several advantages over PCR-based techniques, including avoidance of amplification, direct sequence interrogation and digital detection for absolute quantification. These feat...

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Autores principales: Waggott, Daryl, Chu, Kenneth, Yin, Shaoming, Wouters, Bradly G., Liu, Fei-Fei, Boutros, Paul C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3356845/
https://www.ncbi.nlm.nih.gov/pubmed/22513995
http://dx.doi.org/10.1093/bioinformatics/bts188
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author Waggott, Daryl
Chu, Kenneth
Yin, Shaoming
Wouters, Bradly G.
Liu, Fei-Fei
Boutros, Paul C.
author_facet Waggott, Daryl
Chu, Kenneth
Yin, Shaoming
Wouters, Bradly G.
Liu, Fei-Fei
Boutros, Paul C.
author_sort Waggott, Daryl
collection PubMed
description Motivation: The NanoString nCounter Platform is a new and promising technology for measuring nucleic acid abundances. It has several advantages over PCR-based techniques, including avoidance of amplification, direct sequence interrogation and digital detection for absolute quantification. These features minimize aspects of experimental error and hold promise for dealing with challenging experimental conditions such as archival formalin-fixed paraffin-embedded samples. However, systematic inter-sample technical artifacts caused by variability in sample preservation, bio-molecular extraction and platform fluctuations must be removed to ensure robust data. Results: To facilitate this process and to address these issues for NanoString datasets, we have written a pre-processing package called NanoStringNorm in the R statistical language. Key features include an extensible environment for method comparison and new algorithm development, integrated gene and sample diagnostics, and facilitated downstream statistical analysis. The package is open-source, is available through the CRAN package repository, includes unit-tests to ensure numerical accuracy, and provides visual and numeric diagnostics. Availability: http://cran.r-project.org/web/packages/NanoStringNorm Contact: paul.boutros@oicr.on.ca Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-33568452012-05-21 NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data Waggott, Daryl Chu, Kenneth Yin, Shaoming Wouters, Bradly G. Liu, Fei-Fei Boutros, Paul C. Bioinformatics Applications Note Motivation: The NanoString nCounter Platform is a new and promising technology for measuring nucleic acid abundances. It has several advantages over PCR-based techniques, including avoidance of amplification, direct sequence interrogation and digital detection for absolute quantification. These features minimize aspects of experimental error and hold promise for dealing with challenging experimental conditions such as archival formalin-fixed paraffin-embedded samples. However, systematic inter-sample technical artifacts caused by variability in sample preservation, bio-molecular extraction and platform fluctuations must be removed to ensure robust data. Results: To facilitate this process and to address these issues for NanoString datasets, we have written a pre-processing package called NanoStringNorm in the R statistical language. Key features include an extensible environment for method comparison and new algorithm development, integrated gene and sample diagnostics, and facilitated downstream statistical analysis. The package is open-source, is available through the CRAN package repository, includes unit-tests to ensure numerical accuracy, and provides visual and numeric diagnostics. Availability: http://cran.r-project.org/web/packages/NanoStringNorm Contact: paul.boutros@oicr.on.ca Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-06-01 2012-04-17 /pmc/articles/PMC3356845/ /pubmed/22513995 http://dx.doi.org/10.1093/bioinformatics/bts188 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Waggott, Daryl
Chu, Kenneth
Yin, Shaoming
Wouters, Bradly G.
Liu, Fei-Fei
Boutros, Paul C.
NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data
title NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data
title_full NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data
title_fullStr NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data
title_full_unstemmed NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data
title_short NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data
title_sort nanostringnorm: an extensible r package for the pre-processing of nanostring mrna and mirna data
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3356845/
https://www.ncbi.nlm.nih.gov/pubmed/22513995
http://dx.doi.org/10.1093/bioinformatics/bts188
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