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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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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. |
format | Online Article Text |
id | pubmed-3356845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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