Microarray data is subject to noise and systematic variation that negatively affects the resolution of copy number analysis. We describe Rawcopy, an R package for processing of Affymetrix CytoScan HD, CytoScan 750k and SNP 6.0 microarray raw intensities (CEL files). Noise characteristics of a large number of reference samples are used to estimate log ratio and B-allele frequency for total and allele-specific copy number analysis. Rawcopy achieves better signal-to-noise ratio and higher proportion of validated alterations than commonly used free and proprietary alternatives. In addition, Rawcopy visualizes each microarray sample for assessment of technical quality, patient identity and genome-wide absolute copy number states. Software and in...
One of the purposes of several statistical techniques is to reduce random noise and improve the qual...
Abstract Background Genomic instability in cancer leads to abnormal genome copy number alterations (...
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC intro...
Microarray data is subject to noise and systematic variation that negatively affects the resolution ...
Background: Cancer progression is associated with genomic instability and an accumulation of gains a...
A number of bioinformatic or biostatistical methods are available for analyzing DNA copy number prof...
BACKGROUND: Cancer progression is associated with genomic instability and an accumulation of gains a...
MOTIVATION: High-resolution copy-number (CN) analysis has in recent years gained much attention, not...
A new procedure to align single nucleotide polymorphism (SNP) microarray signals for copy number ana...
This dataset contains the raw read counts and phased SNP counts for every single cell in the sequenc...
Analysis of DNA copy number profiles requires methods tailored to the specific nature of these data....
Detection of DNA copy number aberrations by shallow whole-genome sequencing (WGS) faces many challen...
System noise was analyzed in 77 Affymetrix 6.0 samples from a previous clinical study of copy number...
Genotyping platforms such as Affymetrix can be used to assess genotype-phenotype as well as copy num...
This study describes a new tool for accurate and reliable high-throughput detection of copy number v...
One of the purposes of several statistical techniques is to reduce random noise and improve the qual...
Abstract Background Genomic instability in cancer leads to abnormal genome copy number alterations (...
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC intro...
Microarray data is subject to noise and systematic variation that negatively affects the resolution ...
Background: Cancer progression is associated with genomic instability and an accumulation of gains a...
A number of bioinformatic or biostatistical methods are available for analyzing DNA copy number prof...
BACKGROUND: Cancer progression is associated with genomic instability and an accumulation of gains a...
MOTIVATION: High-resolution copy-number (CN) analysis has in recent years gained much attention, not...
A new procedure to align single nucleotide polymorphism (SNP) microarray signals for copy number ana...
This dataset contains the raw read counts and phased SNP counts for every single cell in the sequenc...
Analysis of DNA copy number profiles requires methods tailored to the specific nature of these data....
Detection of DNA copy number aberrations by shallow whole-genome sequencing (WGS) faces many challen...
System noise was analyzed in 77 Affymetrix 6.0 samples from a previous clinical study of copy number...
Genotyping platforms such as Affymetrix can be used to assess genotype-phenotype as well as copy num...
This study describes a new tool for accurate and reliable high-throughput detection of copy number v...
One of the purposes of several statistical techniques is to reduce random noise and improve the qual...
Abstract Background Genomic instability in cancer leads to abnormal genome copy number alterations (...
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC intro...