A method for transforming a plurality of random biological sequence data to an ordered biological data sequence, the method comprises reading a reference biological data sequence; generating a plurality of indexes based on the reference biological data sequence; generating a library, the library including the plurality of indexes; organizing the library into an associative array; reading the plurality of random biological sequence data; encoding the plurality of random biological sequence data; comparing the encoded plurality of random biological sequence data to the reference biological sequence; and aligning the encoded plurality of random biological sequence data to the reference biological sequence using an alignment algorithm to generate a plurality of alignment data.

Aspects relate to calculating energy expenditure values from an apparatus configured to be worn on an appendage of a user. Steps counts may be quantified, such as by detecting arm swings peaks and bounce peaks in motion data. A search range of acceleration frequencies related to an expected activity may be established. Frequencies of acceleration data within a search range may be analyzed to identify one or more peaks, such as a bounce peak and an arm swing peak. Novel systems and methods may determine whether to utilize the arm swing data, bounce data, and/or other data or portions of data to quantify steps. The number of peaks (and types of peaks) may be used to choose a step frequency and step magnitude. At least a portion of the motion data may be classified into an activity category based upon the quantification of steps.

This invention relates generally to (but is not limited to) identifying food compounds that have an impact on a phenotype of interest in a subject, and more particularly to identifying a phenotype-related target, identifying a stimulus (e.g., a pharmaceutical agent) that modulates that target, and identifying food compounds exhibiting similarity to the agent (e.g., having a chemical structure that is similar to the agent's structure). The similarity can be determined, for example, by a computer-interfaced comparison between a drug database and a food database.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Provided is a base sequence cluster generating system, method, and program product for performing cluster generation. The base sequence cluster generating system utilizes a computer system having a database containing base sequences receives a query sequence over. The computer uses spliced base sequences as a query sequence to generate a first cluster including base sequences that are likely to constitute a spliced pair with the query sequence. Spliced alignment is applied to the generated first cluster to generate a second cluster including spliced pairs. The generated second cluster is returned to the requester.

Systems and methods to characterize one or more microorganisms or DNA fragments thereof are disclosed. Exemplary methods and systems use comparison of DNA sequencing information to information in one or more databases to characterize the one or more microorganism or DNA fragments thereof. Exemplary systems and methods can be used in a clinical setting to provide rapid analysis of microorganisms that may be a cause of infection.

Techniques to profile a disease or a disorder (e.g., a tumor) based on a protein activity signature are disclosed herein. An example method can include measuring quantitatively protein activity of a plurality of master regulator proteins in a sample from a disease or disorder; and profiling the tumor from the quantitative protein activity of the master regulator proteins. Also disclosed are methods of identifying a compound or compounds that treats diseases or disorders (e.g., inhibit tumor cell growth).

Electronic label processor compares bioinformatic values to determine pharmaco-genomic mutation associated with host. Label display indicates pharmaco-genomic mutation, which is network-accessible for modified medical message. Bioinformatic values are determined preferably at different times.

The invention provides methods for simultaneously amplifying multiple nucleic acid regions of interest in one reaction volume as well as methods for selecting a library of primers for use in such amplification methods. The invention also provides library of primers with desirable characteristics, such as minimal formation of amplified primer dimers or other non-target amplicons.

The invention provides methods and systems of determining biopolymer profiles and correlations between structural units (residues) of a biopolymer based on sampling of the conformational space available to the molecule. The correlations between these structural units can further be used to find networks within a biopolymer such as the coupled residue networks in a protein. The invention also provides for designing and engineering biopolymers including polypeptides, nucleic acids and carbohydrates using the information derived from the conformation clustering and subsequent methods described herein.