The generation of a factory order to control production of nucleotide sequences by a gene manufacturing system includes receiving an expression indicating an operation on sequence operands, each representing at least one nucleotide sequence part, evaluating the expression to a sequence specification, wherein the sequence specification comprises a data structure including one or more first-level operations and one or more second-level operations, and generating the factory order based upon execution of the one or more first-level operations and the one or more second-level operations. In a recursive manner, the one or more first-level operations operate on at least one first-level sequence operand, the value of which is resolved by execution of one or more of the second-level operations. The factory order may then be provided to the gene manufacturing system to assemble the sequence parts into nucleotide sequences represented by the sequence specification.

Systems and methods are provided for processing a melting or dissociation curve of a DNA or other sample, for example, during PCR processing. In some embodiments, detection of the melting point and melting curve behavior can be enhanced by taking a derivative of the curve, and detecting peaks in the differential dissociation curve. In some embodiments, the derivative operation can comprise the use of edge-processing, or other detection algorithms. In some embodiments, the dissociation analysis can comprise removing low-frequency (or pedestal) components of the differential dissociation curve. In some embodiments, the differential dissociation curve can exhibit a smoothed or more regular appearance than the raw detected data.

The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

The present invention relates to identification and characterization of polymorphisms in a nucleic acid sample. Methods and compositions for the unbiased amplification of multiple target sequences within a nucleic acid sample are provided.

This invention relates to a method to determine proliferation risk of Legionella sp. and total aerobes, and to quantify their populations in all types of plants entailing potential proliferation and/or dissemination of these bacteria; firstly it performs previous calculations with previously measured source data in order to identify fundamental parameters for calculations. Secondly, data are sent from the user station to the central processor for processing and storage purposes. Thirdly, data are returned from the central server to the user station for storage and evaluation purposes.

Improved human health monitoring is provided in the context of sensor measurements of typical vital signs and other biological parameters, by a system and method using an empirical model of the parameters and disposed to estimate values of the parameters in response to actual measurements. Residuals resulting from the difference between the estimates and actual measurements are analyzed for robust indications of incipient health issues. Residual analysis is both more robust and more sensitive than conventional univariate range checking on vital signs.

Methods are provided herein to improve automatic detection of copy number variation in nucleic acid samples. These methods provide improved approaches for determining baseline copy number of genetic loci within a sample, reduce variation due to features of genetic loci, sample preparation, and probe exhaustion.

Methods are provided herein to improve automatic detection of copy number variation in nucleic acid samples. These methods provide improved approaches for determining baseline copy number of genetic loci within a sample, reduce variation due to features of genetic loci, sample preparation, and probe exhaustion.