Nexus Copy Number – Accelerating Copy Number Analysis Research
Nexus Copy Number simplifies genetic aberration analysis with an elegant and simple user interface, efficient processing for rapid and automated analysis of thousands of arrays, and a flexible design that accommodates user preferences such as custom annotation tracks, integration of custom databases (e.g. CNVs, genetic disorders), segmentation algorithm, and integration of miRNA and gene expression data. With detection of copy number and LOH events and flexibility in handling any commercial or custom array as well as any organism, Nexus Copy Number is the only solution you need for array based genetic aberration analysis. With a choice of two configurations (Standard or Discovery Editions), Nexus Copy Number meets the needs of any investigator.
Compare Editions
Flexible data type and experiment design support
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Platform independent – support for all array platforms and associated software including Affymetrix®, Agilent®, Illumina®, Roche NimbleGen®, GenePix®, ImaGene®, and more
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Support for any organism
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Support for dye-swap experiments
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Processing
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Efficient processing for 1000s of arrays
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Support for other calling algorithms
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Sample QC
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Aberration detection
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Copy number change identification
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Allelic event calling for SNP arrays (e.g. LOH)
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Identification of common areas and minimal common areas of aberrations
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Identify statistically significant frequency peaks in a population
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Results reporting
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Customized sample reports
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High resolution publication ready images
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Integration with public and custom databases
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Link to external databases (e.g. NCBI,
Ensemble, DECIPHER)
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Annotation tracks for genes, exons, miRNAs, CNVs
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Custom annotation tracks
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Custom CNV database support
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Data exploration
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Integration of phenotype/clinical data
(factors)
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Display of aberration
frequency by phenotype or factor subgroups
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Factor enrichment
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Ability to query all
samples based on genes or genomic locations
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Identification of regions of statistically
significant difference between sample populations
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Identification of regions with statistically
significant predictive power on numeric phenotypes
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Survival analysis (Kaplan Meir plots and significance values)
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Clustering of samples based on genomic change
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Gene ontology enrichment analysis
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Integration of external data
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Gene and miRNA expression results integration
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White Papers
Recent Publications
A de-novo 7.6 Mb tandem duplication of 14q32.2-qter associated
with primordial short stature with neurosecretory growth hormone
dysfunction, distinct facial anomalies and mild developmental delay
Thiel CT, Dörr HG, Trautmann U, Hoyer J, Hofmann K, Kraus C, Ekici AB,
Reis A, Rauch A. Eur J Med Genet. 2008 Jul-Aug; 51(4):362-7. Epub 2008 Mar 20. [
PubMed]
Rare structural variants disrupt multiple genes in neurodevelopmental pathways in schizophrenia
Tom Walsh, Jon M. McClellan, Shane E. McCarthy, Anjene M. Addington,
Sarah B. Pierce, Greg M. Cooper, Alex S. Nord, Mary Kusenda, Dheeraj
Malhotra, Abishek Bhandari, Sunday M. Stray, Caitlin F. Rippey,
Patricia Roccanova, Vlad Makarov, B. Lakshmi, Robert L. Findling,
Linmarie Sikich, Thomas Stromberg , Barry Merriman, Nitin Gogtay,
Philip Butler, Kristen Eckstrand, Laila Noory, Peter Gochman, Robert
Long, Zugen Chen, Sean Davis, Carl Baker, Evan E. Eichler, Paul S.
Meltzer, Stanley F. Nelson, Andrew B. Singleton, Ming K. Lee, Judith L.
Rapoport, Mary-Claire King, Jonathan Sebat. Rare structural variants
disrupt multiple genes in neurodevelopmental pathways in schizophrenia.
Science, 27 March 2008. (10.1126/science.1155174). [
Abstract]
Multiple sub-microscopic genomic lesions are a universal feature of chronic myeloid leukaemia at diagnosis
J S Khorashad, V A De Melo, H Fiegler, G Gerrard, D Marin, J F Apperley, J M Goldman, L Foroni and A G Reid. Leukemia (2008) 22, 1806–1807. (10.1038/leu.2008.210) [
Abstract] [
PubMed]
Customized Oligonucleotide Array-Based Comparative Genomic Hybridization as a Clinical Assay for Genomic Profiling of Chronic Lymphocytic Leukemia
Rachel Sargent, Dan Jones, Lynne V. Abruzzo, Hui Yao, Jaime Bonderover, Marissa Cisneros, William G. Wierda, Michael J. Keating and Rajyalakshmi Luthra. Journal of Molecular Diagnostics 2009, Vol. 11, No. 1. (10.2353/jmoldx.2009.080037) [
Abstract]
View more publications
System Requirements
Platforms Supported: Windows Win2k/WinXP, OS X
Minimum: 1.0 GHz Pentium or G4, 512 MB RAM
Recommended: 2.0 GHz or faster Core 2 Duo, 1024 or more MB RAM
Get Started Today
Contact BioDiscovery today to request a free trial, receive a quote or request additional information.