Johnson and Johnson Pharmaceuticals has purchased High Throughput Biology Inc.'s BioIDE software to conduct candidate gene-based and genome-wide association analysis to discover correlations between genetic variations and disease states.

Johnson and Johnson Pharmaceuticals has retained the service from High Throughput Biology Inc. to conduct customized association analysis on genotype data collected in a whole-genome association (WGA) study. In addition to perform conventional data validation and analysis, High Throughput Biology Inc. will employ its Pattern Examiner algorithm to detect potential gene-gene interactions using WGA data.

High Throughput Biology Inc. is participating in the GAW16 workshop using its Pattern Examiner algorithm to detect multi-locus genetic association as well as gene interactions. The GAW16 data from the North American Rheumatoid Arthritis Consortium (NARAC) contain genotypes for 868 casesand 1194 controls on more than half a million SNP markers. The result of the analysis will be reported on the GAW16 Meeting in September, 2008.

High Throughput Biology Inc. has installed a client-server version of the BioIDE software at the Albert Einstein Medical College to faciliate its genetic research. With the client-server version, researchers at ALbert Einstein Medical College will be able to take advantage of its core bioinformatics resources and to share data and results securely among collaborating groups.

High Throughput Biology Inc. is proud to release a new version of BioIDE: v2.3. The new version added several significant features. For example, BioIDE now supports the Affy SNP Arry 6 data format, which include more than one million SNP and CNV markers. PedigreeView is a data visualization component that automatically draws family pedigree trees if the phenotype data contain family information. It not only draws family trees correctly for multi-generation complex families but also handles with ease situations such as consanguinous loops, multiple spouses, and multiple founding groups. Another useful feature for data export and publication is that a user can choose any markers or phenotypes to be displayed together with the pedigree tree.