NanoStringNormCNV: Pre-processing of NanoString CNV data

Dorota H. Sendorek, Emilie Lalonde, Cindy Q. Yao, Veronica Y. Sabelnykova, Robert G. Bristow, Paul C. Boutros

Research output: Contribution to journalArticlepeer-review

Abstract

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 [email protected] Supplementary informationSupplementary dataare available at Bioinformatics online.

Original languageEnglish
Pages (from-to)1034-1036
Number of pages3
JournalBioinformatics
Volume34
Issue number6
DOIs
Publication statusPublished - 3 Nov 2017

Research Beacons, Institutes and Platforms

  • Manchester Cancer Research Centre

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