Literature DB >> 29112706

NanoStringNormCNV: pre-processing of NanoString CNV data.

Dorota H Sendorek1, Emilie Lalonde1,2, Cindy Q Yao1, Veronica Y Sabelnykova1, Robert G Bristow2,3, Paul C Boutros1,2,4.   

Abstract

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.

Entities:  

Mesh:

Year:  2018        PMID: 29112706      PMCID: PMC5860631          DOI: 10.1093/bioinformatics/btx707

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

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

Authors:  Daryl Waggott; Kenneth Chu; Shaoming Yin; Bradly G Wouters; Fei-Fei Liu; Paul C Boutros
Journal:  Bioinformatics       Date:  2012-04-17       Impact factor: 6.937

2.  Direct multiplexed measurement of gene expression with color-coded probe pairs.

Authors:  Gary K Geiss; Roger E Bumgarner; Brian Birditt; Timothy Dahl; Naeem Dowidar; Dwayne L Dunaway; H Perry Fell; Sean Ferree; Renee D George; Tammy Grogan; Jeffrey J James; Malini Maysuria; Jeffrey D Mitton; Paola Oliveri; Jennifer L Osborn; Tao Peng; Amber L Ratcliffe; Philippa J Webster; Eric H Davidson; Leroy Hood; Krassen Dimitrov
Journal:  Nat Biotechnol       Date:  2008-02-17       Impact factor: 54.908

Review 3.  Evaluating Robustness and Sensitivity of the NanoString Technologies nCounter Platform to Enable Multiplexed Gene Expression Analysis of Clinical Samples.

Authors:  Margaret H Veldman-Jones; Roz Brant; Claire Rooney; Catherine Geh; Hollie Emery; Chris G Harbron; Mark Wappett; Alan Sharpe; Michael Dymond; J Carl Barrett; Elizabeth A Harrington; Gayle Marshall
Journal:  Cancer Res       Date:  2015-06-11       Impact factor: 12.701

4.  NanoStringDiff: a novel statistical method for differential expression analysis based on NanoString nCounter data.

Authors:  Hong Wang; Craig Horbinski; Hao Wu; Yinxing Liu; Shaoyi Sheng; Jinpeng Liu; Heidi Weiss; Arnold J Stromberg; Chi Wang
Journal:  Nucleic Acids Res       Date:  2016-07-28       Impact factor: 16.971

5.  Translating a Prognostic DNA Genomic Classifier into the Clinic: Retrospective Validation in 563 Localized Prostate Tumors.

Authors:  Emilie Lalonde; Rached Alkallas; Melvin Lee Kiang Chua; Michael Fraser; Syed Haider; Alice Meng; Junyan Zheng; Cindy Q Yao; Valerie Picard; Michele Orain; Helène Hovington; Jure Murgic; Alejandro Berlin; Louis Lacombe; Alain Bergeron; Yves Fradet; Bernard Têtu; Johan Lindberg; Lars Egevad; Henrik Grönberg; Helen Ross-Adams; Alastair D Lamb; Silvia Halim; Mark J Dunning; David E Neal; Melania Pintilie; Theodorus van der Kwast; Robert G Bristow; Paul C Boutros
Journal:  Eur Urol       Date:  2016-11-01       Impact factor: 20.096

6.  mRNA transcript quantification in archival samples using multiplexed, color-coded probes.

Authors:  Patricia P Reis; Levi Waldron; Rashmi S Goswami; Wei Xu; Yali Xuan; Bayardo Perez-Ordonez; Patrick Gullane; Jonathan Irish; Igor Jurisica; Suzanne Kamel-Reid
Journal:  BMC Biotechnol       Date:  2011-05-09       Impact factor: 2.563

7.  NanoStriDE: normalization and differential expression analysis of NanoString nCounter data.

Authors:  Christopher D Brumbaugh; Hyunsung J Kim; Mario Giovacchini; Nader Pourmand
Journal:  BMC Bioinformatics       Date:  2011-12-16       Impact factor: 3.169

8.  Mistaken identifiers: gene name errors can be introduced inadvertently when using Excel in bioinformatics.

Authors:  Barry R Zeeberg; Joseph Riss; David W Kane; Kimberly J Bussey; Edward Uchio; W Marston Linehan; J Carl Barrett; John N Weinstein
Journal:  BMC Bioinformatics       Date:  2004-06-23       Impact factor: 3.169

9.  Digital genotyping of macrosatellites and multicopy genes reveals novel biological functions associated with copy number variation of large tandem repeats.

Authors:  Manisha Brahmachary; Audrey Guilmatre; Javier Quilez; Dan Hasson; Christelle Borel; Peter Warburton; Andrew J Sharp
Journal:  PLoS Genet       Date:  2014-06-19       Impact factor: 5.917

  9 in total

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