SUMMARY: The NanoString System is a well-established technology for measuring 
RNA and DNA abundance. Although it can estimate copy number variation, 
relatively few tools support analysis of these data. To address this gap, we 
created NanoStringNormCNV, an R package for pre-processing and copy number 
variant calling from NanoString data. This package implements algorithms for 
pre-processing, quality-control, normalization and copy number variation 
detection. A series of reporting and data visualization methods support 
exploratory analyses. To demonstrate its utility, we apply it to a new dataset 
of 96 genes profiled on 41 prostate tumour and 24 matched normal samples.
AVAILABILITY AND IMPLEMENTATION: NanoStringNormCNV is implemented in R and is 
freely available at 
http://labs.oicr.on.ca/boutros-lab/software/nanostringnormcnv.
CONTACT: paul.boutros@oicr.on.ca.
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics 
online.