Abstract: The present disclosure provides systems and methods to detect somatic or germline variants by providing a predetermined genomic DNA (gDNA) to an assay mixture, and capturing a sample of a subject's genetic information using a DNA sequencer and detecting genetic variants from the genetic information. A mutation may then be classified as being from a germline source if gDNA derived molecules have lengths inconsistent with those expected from cell-free DNA (cfDNA) derived molecules.

Abstract: The invention provides systems and methods for evaluating synthetic reactions such as polymer synthesis reactions. Evaluation of a synthetic reaction product can be based on a quantitative measure of synthesis such as coupling efficiency or yield, and various parameters determined from a separation record obtained for the synthetic reaction product. The invention further provides methods for evaluating a separation method based on various parameters determined from a separation record. The invention can be used to select an appropriate treatment for a synthetic reaction product such as a separation treatment or treatments related to further processing for the desired product. The methods are particularly useful for automated selection of treatments for synthetic reaction products.

Abstract: Described herein are systems and methods for normalizing data without the use of external controls. Also described herein are systems and methods for analyzing cluster data, such as genotyping data, using an artificial neural network.

Abstract: The invention relates to the use of a computer system to compare images generated from a randomly ordered array. This system preserves the relative position of each site within the array so that the same site can be compared in different images.

Abstract: This invention is directed to systems and methods for comparing the similarity of biopolymer sequences. Algorithms useful in the systems and methods of the invention include (a) parsing one or more biopolymer reference sequences to produce a plurality of reference subsequences; (b) storing the plurality of reference subsequence to a plurality of CAM address locations; (c) parsing a query sequence to produce a plurality of query subsequences; (d) searching the plurality of reference subsequences stored in the plurality of CAM address locations with the plurality of query subsequences, and (e) producing an output of CAM address locations containing at least one match, the at least one match indicating sequence similarity between the reference subsequence stored in the CAM address location and the query subsequence producing the at least one match.

Abstract: Biocompatible sensors configured for implantation include a first body in communication with a plurality of remote sensor bodies to detect physiological parameters in vivo.

Abstract: Described herein are systems and methods for normalizing data without the use of external controls. Also described herein are systems and methods for analyzing cluster data, such as genotyping data, using an artificial neural network.

Abstract: A multiple agent system providing each of a plurality of agents, i.e., processors, access to a shared synchronous memory. A super agent is preferably that agent from among a plurality of agents which accesses a shared synchronous memory most frequently. The super agent has direct access to the shared synchronous memory, without negotiation and/or arbitration, while the non-super agents access the shared synchronous memory under the control of an arbiter-and-switch. Open windows are generated when the super agent is not, accessing the shared synchronous memory. The non-super agents can be allowed interim access to the shared synchronous memory even, before the super agent terminates ownership of the shared synchronous memory.