The technology disclosed generates a reference array of variant data for locations that are shared between read results which are to be compared, and generates hashes over a selected pattern length of positions in the reference array to independently produce non-unique window hashes for base patterns in the read results. It then selects for comparison window hashes that occur less than a ceiling number of times and compares the selected window hashes to identify common window hashes between the read results. It then determines a similarity measure for the read results based on the common window hashes.

The technology disclosed generates a reference array of variant data for locations that are shared between read results which are to be compared, and generates hashes over a selected pattern length of positions in the reference array to independently produce non-unique window hashes for base patterns in the read results. It then selects for comparison window hashes that occur less than a ceiling number of times and compares the selected window hashes to identify common window hashes between the read results. It then determines a similarity measure for the read results based on the common window hashes.

The present disclosure provides methods of determining one or more tissues and/or cell-types contributing to cell-free DNA (“cfDNA”) in a biological sample of a subject. In some embodiments, the present disclosure provides a method of identifying a disease or disorder in a subject as a function of one or more determined more tissues and/or cell-types contributing to cfDNA in a biological sample from the subject.

The present disclosure provides methods of determining one or more tissues and/or cell-types contributing to cell-free DNA (“cfDNA”) in a biological sample of a subject. In some embodiments, the present disclosure provides a method of identifying a disease or disorder in a subject as a function of one or more determined more tissues and/or cell-types contributing to cfDNA in a biological sample from the subject.

Systems and methods are provided for identifying characteristics of a subject using a biofield scan obtained from the subject. An embodiment can include a method for cross-correlating biofield scans to an enome database, and/or a genome database. A phenotype history and a biofield scan can be created from a user. A user's biofield scan can be created from measured amplitude and frequency. A database is created from a user's phenotype history, and biofield scan. The user's phenotype history and biofield scans are then correlated with known physical and biochemical characteristics. A biofield signature is created and compared to the user's phenotype history, and biofield scan.

The present invention describes a method of prognosing high or low probability of developing an inflammatory bowel disease (IBD) in a subject and a method of diagnosing an inflammatory bowel disease (IBD) in a subject. The invention further provides for a method of identifying genes/genetic loci associated with a disease condition, such as IBD, CD and/or UC.

The present invention describes a method of prognosing high or low probability of developing an inflammatory bowel disease (IBD) in a subject and a method of diagnosing an inflammatory bowel disease (IBD) in a subject. The invention further provides for a method of identifying genes/genetic loci associated with a disease condition, such as IBD, CD and/or UC.

Methods, apparatuses, and systems for transcribing and performing analysis on patient data are disclosed. Data is collected from one or more medical professionals as well as sensors and imaging devices positioned on or oriented towards a patient. An analysis is performed on the patient data and the data is presented to a medical professional via a verbal interface in a conversational manner, allowing the medical professional to provide additional data such as observations or instructions which may be used for further analysis or to perform actions related to the patient's care.

Methods, apparatuses, and systems for transcribing and performing analysis on patient data are disclosed. Data is collected from one or more medical professionals as well as sensors and imaging devices positioned on or oriented towards a patient. An analysis is performed on the patient data and the data is presented to a medical professional via a verbal interface in a conversational manner, allowing the medical professional to provide additional data such as observations or instructions which may be used for further analysis or to perform actions related to the patient's care.

This disclosure describes methods, non-transitory computer readable media, and systems that can facilitate execution of external workflows for diagnostic analysis of nucleotide sequencing data utilizing a container orchestration engine. For example, the disclosed systems can utilize a container orchestration engine to allow external systems (e.g., third-party systems) to generate and implement workflows for analyzing sequencing data. In executing individual workflow containers of a sequencing diagnostic workflow, the disclosed systems can isolate the workflow containers to prevent access to, or corruption of, other data while also orchestrating allocation of computing resources available at a genomic sequence processing device to execute the workflow containers.