A method for detecting a list of known biopolymer molecules comprises: calculating, for each biopolymer, a respective list of oligomer molecules predicted to be produced by chemical processing; calculating, for each oligomer molecule, a respective predicted chromatographic elution time period; assigning, for each biopolymer molecule, one or more selected oligomer molecules to be detected, wherein the selecting is performed using weighted selection probabilities determined from the predicted elution times; scheduling a plurality of oligomer detection events of a detection system, wherein each oligomer detection event corresponds to a respective one of the predicted elution time periods; performing the chemical reaction or processing of the sample to generate a processed sample; introducing the processed sample into a chromatographic system; introducing any eluting oligomers into the detection system; and operating the detection system so as to search for each of the selected oligomer molecules in accordance with the scheduled detection events.

A technique for updating road maps is disclosed. A number of GPS traces can be matched with a number of roads in a map. Matched GPS traces may be processed by a matched segment module to produce proposed changes to the map. The map can be updated using a map updating module based on the proposed changes from the matched segment module. Unmatched GPS traces may be processed by an unmatched segment module to produce proposed changes to the map. The map can be updated using a map updating module based on the proposed changes from the unmatched segment module. The proposed changes to the map may include metadata defining new roads in the map, new intersections in the map, updates to turn restrictions in the map, updates to the allowable directional traffic flow on the roads within the map, updates to road closures in the map.

The present invention relates to a fresh water acute criteria prediction method based on a quantitative structure-activity relationship for metals. An unknown toxic endpoint of a metal is predicted according to a quantitative relationship between structural characteristics of heavy metal ions and acute toxicity effects of aquatic organisms, and hazard concentrations for protecting the aquatic organisms of different proportions are derived from sensitivity distribution analysis on different species. The fresh water acute criteria prediction method is a method for establishing a metal toxicity predictive model by integrating physicochemical structural parameters of heavy metals and toxic mechanisms of different aquatic organisms and applying the metal toxicity predictive model to prediction of an unknown criteria reference value.

The present disclosure provides a microbe engineering platform that permits optimization of microbe fitness levels to optimize a microbe's suitability for industrial fermentation. The disclosed platform identifies an association between microbe properties and microbe fitness levels. The association between microbe properties and microbe fitness levels may be used to identify candidate microbes with desired fitness levels. The identified candidate microbes may be used to further optimize the industrial fermentation process.

Response to treatment of an inflammatory condition can be predicted based on characteristics of one or more markers from a subject. The markers can include expressions of nucleotide sequences identified herein and of combinations thereof. A response value can be calculated based on characteristics (e.g., expression levels) of one or more of the markers, as well as other characteristics of the subject, such as baseline clinical data. The treatment can be administered when the response value is beyond a threshold.

Response to treatment of an inflammatory condition can be predicted based on characteristics of one or more markers from a subject. The markers can include expressions of nucleotide sequences identified herein and of combinations thereof. A response value can be calculated based on characteristics (e.g., expression levels) of one or more of the markers, as well as other characteristics of the subject, such as baseline clinical data. The treatment can be administered when the response value is beyond a threshold.

Sequence variants and copy number variations in the EGFR, KRAS and MET genes are biomarkers for resistance to anti-EGFR therapies for cancer. This disclosure provides methods of detecting these biomarkers and using them in the diagnosis and treatment of cancer.

Sequence variants and copy number variations in the EGFR, KRAS and MET genes are biomarkers for resistance to anti-EGFR therapies for cancer. This disclosure provides methods of detecting these biomarkers and using them in the diagnosis and treatment of cancer.

The present invention relates to the use of next generation technologies coupled with viability and pathogenicity profiles to determine the threat of microbes in the environment. The invention relates to methods for identifying a pathogenicity and viability profile of microbes from collected samples.

The present invention relates to the use of next generation technologies coupled with viability and pathogenicity profiles to determine the threat of microbes in the environment. The invention relates to methods for identifying a pathogenicity and viability profile of microbes from collected samples.