Abstract: A system for classifying an origin of genomic sequence data may include a training database comprising sample data including first samples corresponding to sequences of natural origin and second samples corresponding to sequences of synthetic origin, and a classifier comprising a genomic classification module. The genomic classification module may be trained via machine learning on the first and second samples. The genomic classification module may be configured to receive genomic sequence data of any read length and determine a classification output indicating whether the genomic sequence data has a natural origin or synthetic origin.

Abstract: A system for classifying an origin of genomic sequence data may include a training database comprising sample data including first samples corresponding to sequences of natural origin and second samples corresponding to sequences of synthetic origin, and a classifier comprising a genomic classification module. The genomic classification module may be trained via machine learning on the first and second samples. The genomic classification module may be configured to receive genomic sequence data of any read length and determine a classification output indicating whether the genomic sequence data has a natural origin or synthetic origin.

Abstract: A personalized healthcare system may include a data platform, an analytics platform, a workflow engine and a visualization engine. The data platform is scalable to include a plurality of data sources including at least a clinical research database, genomic data, and a patient health record database. The patient health record database includes a record for each of a population of patients, a plurality of genetic markers, and a plurality of clinical parameters associated with the patients. The analytics platform is configured to analyze the data sources in response to a query. The workflow engine is configured to provide a plurality of predefined workflows corresponding to respective different conditions or diseases. The visualization engine is configured to provide a selected visualization from a plurality of predefined visualization templates based on a current operation in a selected one of the predefined workflows and based on an identity of the user.

Abstract: A method for providing personalized healthcare for a patient is provided. The method may include receiving information indicative of a patient, retrieving a record associated with the patient, receiving a query identifying a healthcare related issue associated with the patient, performing analytics via a statistical discovery component and a natural language processing component configured to interface with respective portions of heterogeneous data sources to selectively identify correlations between genomic profile information of the patient and selected data of the data sources, applying a selected risk model based on the query; and providing a response to the query including information associated with clinical decision support tailored to an identity of the user, the user being a selected one of a patient, a researcher and a clinician.