Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Performance assessment of copy number microarray platforms using a spike-in experiment.

Bioinformatics (Oxford, England) - 15 Apr 2011

Halper-Stromberg Eitan, Frelin Laurence, Ruczinski Ingo, Scharpf Robert, Jie Chunfa, Carvalho Benilton, Hao Haiping, Hetrick Kurt, Jedlicka Anne, Dziedzic Amanda, Doheny Kim, Scott Alan F, Baylin Steve, Pevsner Jonathan, Spencer Forrest, Irizarry Rafael A

Abstract excerpt

MOTIVATION: Changes in the copy number of chromosomal DNA segments [copy number variants (CNVs)] have been implicated in human variation, heritable diseases and cancers. Microarray-based platforms are the current established technology of choice for studies reporting these discoveries and constitute the benchmark against which emergent sequence-based approaches will be evaluated. Research that depends on CNV...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to DNA Copy Number Variations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Oligonucleotide Array Sequence Analysis

Share to Polymorphism, Single Nucleotide

Share to Sensitivity and Specificity

Source

Open in PubMed Open full text

Identifiers

PMID: 21478196
DOI: 10.1093/bioinformatics/btr106
PMCID: PMC3072561

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Performance assessment of copy number microarray platforms using a spike-in experiment.PMID 21478196Read ↗

Methods and strategies for analyzing copy number variation using DNA microarrays.Semantic proximity Read ↗

Current analysis platforms and methods for detecting copy number variation.Semantic proximity Read ↗

Comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants.Semantic proximity Read ↗

Progress in Methods for Copy Number Variation Profiling.Semantic proximity Read ↗

Detection of copy number variation using SNP genotyping.Semantic proximity Read ↗

Systematic and comprehensive benchmarking of an exome sequencing based germline copy-number analysis pipeline to detect clinically relevant CNVsSemantic proximity Read ↗

Benchmarking of Germline Copy Number Variant Callers from Whole Genome Sequencing Data for Clinical ApplicationsSemantic proximity Read ↗

Array-based DNA diagnostics: let the revolution begin.Semantic proximity Read ↗

A systematic benchmark of copy number variation detection tools for high density SNP genotyping arrays.Semantic proximity Read ↗

Critical evaluation of copy number variant calling methods using DNA methylation.Semantic proximity Read ↗

Targeted interrogation of copy number variation using SCIMMkit.Semantic proximity Read ↗

Genome-wide copy number analysis on GeneChip platform using copy number analyzer for affymetrix GeneChip 2.0 software.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.