Agilent Technologies reports that the US National Cancer Institute (NCI) has purchased a full site license for a wide range of Agilent bioinformatics software
Under the agreement, the NCI is making the following software available to its intramural programme researchers: Agilent GeneSpring GX for gene expression, Agilent CGH Analytics for comparative genomic hybridisation (CGH) studies, Agilent Chip Analytics to analyse chromatin immunoprecipitation-on-chip data (ChIP-on-chip), and GeneSpring GT for genotyping and SNP analysis.
The license, arranged under the auspices of the NCI's Office of Science and Technology Partnerships, will enable standardisation of bioinformatics platforms so that users communicate using the same terms and share comparable training and support.
"We're proud of our close working relationship with the NCI," said Agilent's Jordan Stockton, gene expression marketing manager, "especially in helping their researchers employ such emerging applications as aCGH and ChIP-on-chip in conjunction with gene expression to accelerate the search for ways of controlling cancer".
Agilent GeneSpring GX 7.3, a desktop gene-expression analysis system, is designed to help researchers to identify targets quickly and reliably.
Statistically meaningful results provide the ability to predict clinical outcomes and to characterise novel expression patterns.
Agilent CGH Analytics 3.4 lets researchers visually explore, detect and analyse aberration patterns from multiple CGH microarray profiles.
It accepts data from Agilent feature extraction software and displays chromosomal deletions and amplifications and multiple zoom levels simultaneously.
Agilent ChIP Analytics 1.2 lets users visually explore and analyse data from Agilent ChIP-on-chip microarrays.
It accepts data from Agilent feature extraction software or Axon GenePix software, and analyses the significance of protein-binding events without extensive processing or manipulation.
Agilent GeneSpring GT 2.0 is a desktop analysis workbench for analysing high-volume, high-density genotyping data.
A comprehensive set of linkage and association algorithms allows researchers to discover relationships between genotypes and phenotypes.
Designed for biologists and statisticians, GeneSpring GT enables analysis and visualisation of hundreds of thousands of variation measurements simultaneously, for rapid localisation of disease or phenotype markers.
