Skip to main content
Premium Trial:

Request an Annual Quote

Affymetrix: Jan 9, 2007

Affymetrix this week launched the fourth version of its Chromosome Copy Number Analysis Tool.
According to Affy, CNAT 4.0 implements a hidden Markov model algorithm to identify genome-wide chromosomal gains and losses and loss of heterozygosity using its high-density SNP oligonucleotide arrays and its whole-genome sampling assay.
The tool supports all of Affy’s GeneChip mapping array products, including the 500K Mapping Array Set, the company said.
Affy also announced this week that the beta-3 version of its Affymetrix GeneChip Command Console instrument control software is now available for download on its website.
According to the company, AGCC will replace its GeneChip Operating Software and will support all cartridge-based GeneChips with a file-based system designed for easy data sharing, as well as features for sample and array registration, data management, fluidics and scanning instrument control, and automatic and manual image gridding. AGCC will also produce probe cell intensity data, the company said.
An official version is scheduled to launch in June.

The Scan

Suicidal Ideation-Linked Loci Identified Using Million Veteran Program Data

Researchers in PLOS Genetics identify risk variants within and across ancestry groups with a genome-wide association study involving veterans with or without a history of suicidal ideation.

Algorithm Teases Out Genetic Ancestry in Individuals at Biobank Scale

Researchers develop an algorithm known as Rye to tease apart ancestry fractions in admixed individuals at a biobank-scale, applying it to 488,221 UK Biobank participants in Nucleic Acids Research.

Multi-Ancestry Analysis Highlights Comparable Common Variants at Complex Trait-Linked Loci

Researchers in Nature Genetics examine common variants implicated in more than three dozen conditions, estimating genetic effect similarities across ancestry tracts in admixed individuals.

Sick Newborns Selected for WGS With Automated Pipeline

Researchers successfully prioritized infants with potential Mendelian conditions for whole-genome sequencing or rapid whole-genome sequencing, as they report in Genome Medicine.