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NanoStringNorm

  1. Description
  2. Installation
  3. Resources
  4. Getting Help
  5. Citation Information

Description

*NanoStringNorm( is an R package for analyzing nCounter data. The nCounter platform employs direct digital detection technology that quantifies individual tagged nucleic acids without amplificaiton, enabling absolute quantification. For example plots and available functions, see the package vignette.

Key Features

  • Comprehensive pre-processing for both miRNA and RNA
  • Integrated quality control and diagnostic tools
  • Flexible normalization framework with customizable methods
  • Extensive diagnostic visualization, including interactive visualization, for results interpretation

Installation

To install the latest public release of NanoStringNorm from CRAN:

install.packages('NanoStringNorm');

Or to install the latest development version from GitHub:

# install.packages('devtools');

devtools::install_github("uclahs-cds/package-NanoStringNorm");

Resources

Available resources on NanoStringNorm usage can be found at the package CRAN page, reference manual, or vignette.

Getting Help

Looking for guidance or support with NanoStringNorm? Check out our discussions page.

Submit bugs, suggest new features, or see current work at our issues page.

Pull requests are also open for discussion.

Citation Information

To cite NanoStringNorm in publications use:

Waggott, D., Chu, K., Yin, S., Wouters, B.G., Liu, F.F., & Boutros, P.C. NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data. Bioinformatics 28, 11 (2012). https://doi.org/10.1093/bioinformatics/bts188

BibTeX

@article{
  NanoStringNorm,
  title = {NanoStringNorm: An extensible R package for the pre-processing of nanostring mrna and MIRNA data},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/bts188},
  url = {https://doi.org/10.1093/bioinformatics/bts188},
  volume = {28},
  number = {11},
  year = {2012},
  month = {April},
  day = {17},
  author = {Daryl Waggott and Kenneth Chu and Shaoming Yin and Bradly G. Wouters and Fei-Fei Liu and Paul C. Boutros}
}