Agilent Technologies’ Bioinformatics Suite to Enable Standardization of Platforms at Federal Agency
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Agilent Technologies Inc. has announced that the National Cancer Institute (NCI) has purchased a full site license for a wide range of Agilent bioinformatics solutions.
Under the agreement, the NCI is making the following solutions available to its intramural program researchers: Agilent GeneSpring GX for gene expression, Agilent CGH Analytics for comparative genomic hybridization (CGH) studies, Agilent Chip Analytics to analyze 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 standardization 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 solution, is designed to help researchers to identify targets quickly and reliably. Statistically meaningful results provide the ability to predict clinical outcomes and to characterize novel expression patterns.
Agilent CGH Analytics 3.4 lets researchers visually explore, detect and analyze aberration patterns from multiple CGH microarray profiles. Agilent ChIP Analytics 1.2 lets users visually explore and analyze data from Agilent ChIP-on-chip microarrays.
Agilent GeneSpring GT 2.0 is a desktop analysis workbench for analyzing 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 visualization of hundreds of thousands of variation measurements simultaneously, for rapid localization of disease or phenotype markers.
