Abstract: Methods and systems for ordering assays which detect SNPs or gene expression are provided. The methods use PCR and RT-PCR procedures. Collections of stock assays are assembled using pre- and post-manufacturing quality control procedures and made available to consumers via the Internet. In addition, custom assays are prepared upon order from the consumer and these assays are also prepared using pre- and post-manufacturing quality control procedures. The assays are then delivered to the consumer.

Abstract: Methods and systems for ordering assays which detect SNPs or gene expression are provided. The methods use PCR and RT-PCR procedures. Collections of stock assays are assembled using pre- and post-manufacturing quality control procedures and made available to consumers via the Internet. In addition, custom assays are prepared upon order from the consumer and these assays are also prepared using pre- and post-manufacturing quality control procedures. The assays are then delivered to the consumer.

Abstract: Libraries of assays and methods of compiling the libraries are provided. The assays can identify Single Nucleotide Polymorphisms (SNPs). Methods of validating SNPs are provided. Methods of constructing linkage disequilibrium maps using sets or subsets of SNPs are also provided.

Abstract: Pattern recognition, for instance optical character recognition, is achieved by training a neural network, scanning an image, segmenting the image to detect a pattern, preprocessing the detected pattern, and applying the preprocessed detected pattern to the trained neural network. The preprocessing includes determining a centroid of the pattern and centrally positioning the centroid in a frame containing the pattern. The training of the neural network includes randomly displacing template patterns within frames before applying the template patterns to the neural network.

Abstract: Method and system for selectively retrieving information contained in a stored document set using a non-literal, or "fuzzy", search strategy. A text string query is transmitted (200) to a computer processor, and a dissimilarity value D.sub.i is assigned (208) to selected ones of stored text strings representative of information contained in a stored document set, based upon a first set of rules (106). A set of retrieved text strings representative of stored information and related to the text string query is generated (212), based upon a second set of rules (107). Each of the retrieved text strings has an associated dissimilarity value D.sub.i, which is a function of at least one rule R.sub.n from the first set of rules (106) used to retrieve the text string and a weight value w.sub.n associated with that rule R.sub.n. The retrieved text strings are displayed (216) preferably in an order based on their associated dissimilarity value D.sub.i.

Abstract: Pattern recognition, for instance optical character recognition, is achieved by training a neural network, scanning an image, segmenting the image to detect a pattern, preprocessing the detected pattern, and applying the preprocessed detected pattern to the trained neural network. The preprocessing includes determining a centroid of the pattern and centrally positioning the centroid in a frame containing the pattern. The training of the neural network includes randomly displacing template patterns within frames before applying the template patterns to the neural network.