CLOUD

RALEIGH, NC -- Molecular Mining Corporation (MMC) today announced the release of GeneLinker(TM)Gold version 1.1 Gene Expression Analysis Software. MMC will demonstrate the new version at BioTechnica 2001, ASHG and GSAC. GeneLinker Gold is ideal for users who need a gene expression analysis tool that is intuitively easy to use, comprehensive, and affordable. GeneLinker Gold offers a powerful set of analysis and visualization tools for the exploration of gene expression data. Version 1.1 adds significant functionality including Principle Components Analysis (PCA) and Self Organizing Maps (SOMs) as well as having the same industry leading data importation, on-line help, and visualization tools introduced in version 1.0. "It is a very exciting time for MMC," said Evan Steeg, Ph.D. Founder, President and CEO of Molecular Mining. "Our commercialization phase is now in full swing with this intermediate release of Gold and our extensive exhibition schedule." "GeneLinker Gold is simple to use and now even more powerful," Steeg continued. "We feel that the combination of high performance analysis, our unparalleled ease of use and the affordability of our Perpetual License Program make this product the best choice for the entry-level user of Gene Expression Analysis software. We are demonstrating this product and announcing further breakthroughs in Gene Expression and SNPs analysis at the upcoming conferences in Germany and San Diego," he added. As opposed to products that carry an annual license fee, GeneLinker Gold is licensed in perpetuity to the end user. Software upgrades and tech support are free of charge for a full year. After that, the user can choose to keep the version he has and use it as long as he likes or to purchase upgrades and support at a very significant discount. "We expect the user to see GeneLinker Gold as the first step in a potentially long relationship with MMC," says Steeg. "Once the user is familiar with the exploratory value of gene expression analysis software, we have an easy upgrade path to our more sophisticated solutions for inference of relationships between genes and even predictive in silico models. We can take you as far as you want to go." For more information visit www.molecularmining.com