A device for compressing subject data. the device comprises a communication link, the communication link capable of receiving a set of subject data; a compression module, the compression module configured to apply a compression algorithm to the set of subject data, the compression algorithm compressing the set of subject data using a reference string of subject data; and a transmission module, the transmission module configured to transmit the compressed subject data. The device further comprising an encryption module for encrypting the subject data.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Method and apparatus for the indexing of genome sequence data produced by genome sequencing machines. The proposed method can be applied both to raw sequence data produced by sequencing machines and to those sequence reads that cannot be mapped on any reference sequence according to specific matching criteria. This invention describes a method to partition and index unaligned sequence reads to enable browsing and efficient selective access.

Method and apparatus for the indexing of genome sequence data produced by genome sequencing machines. The proposed method can be applied both to raw sequence data produced by sequencing machines and to those sequence reads that cannot be mapped on any reference sequence according to specific matching criteria. This invention describes a method to partition and index unaligned sequence reads to enable browsing and efficient selective access.

Proteases regulate a wide range of normal cellular functions where dysregulated activity is observed in various diseases. Compositions and methods use protease activity multiplexed bead-based immunoassays to profile protease activity. This platform technology integrates protease activity measurements with total protein quantification techniques. It represents a significant improvement over existing detection techniques by allowing for multiplexed, sensitive active protease measurements in complex biological samples. Exemplary multiplexed detections are realized in a single assay using a minute sample amount (e.g., 5 μl) for active recombinant MMP-1, -2, -3, -7, 9, and 12 and those same MMPs in cell culture supernatant, menstrual fluid effluent, and peritoneal aspirates. This multiplexed platform achieves high level of sensitivities equal to or better than existing leading single-plex detection strategies. It also allows for high throughput screening to identify inhibitors of proteases in complex, donor-derived samples.

The present disclosure relates to automated systems and methods for quantitatively determining an unmasking status of a biological specimen subjected to an unmasking process (e.g. an antigen retrieval process and/or a target retrieval process) using a trained unmasking status estimation engine. In some embodiments, the trained unmasking status estimation engine comprises a machine learning algorithm based on a projection onto latent structure regression model. In some embodiments, the trained unmasking status estimation engine includes a neural network.

According to some embodiments of the present disclosure, a device is disclosed. In embodiments, the device stores a computer program comprised of a set of encoded executable instructions; a genomic differentiation object and genomic regulation instructions (GRI) that were used to encode the set of encoded executable instructions. The device further includes a processing system comprising a VDAX and a set of processing cores. The VDAX is configured to: receive encoded instructions to be executed from the set of encoded executable instructions and decode the encoded instructions into decoded executable instruction based on a modified genomic differentiation object and sequences extracted from metadata associated with the encoded instructions. In these embodiments, the modified genomic differentiation object is modified from the genomic differentiation object using the GRI. The set of processing cores are configured to receive the decoded executable instructions from the VDAX and to execute the decoded executable instructions.

A method for executing computer programs in a trusted execution environment of a device is disclosed. The method includes retrieving a genomic differentiation object corresponding to a computer program that comprises a set of encoded executable instructions. The method further includes modifying the genomic differentiation object based on genomic regulation instructions (GRI) to obtain a modified genomic differentiation object, wherein the GRI were used to encode the set of encoded executable instructions of the computer program. The method includes obtaining a first instruction that is to be executed from the first set of encoded executable instructions of the computer program; obtaining a first sequence from first metadata associated with the first encoded instruction; generating a genomic engagement factor (GEF) based on the first sequence and the modified genomic differentiation object; decoding the first encoded instruction using the GEF to obtain a first decoded instruction; and executing the first decoded instruction.

A method for maintaining a material data blockchain (MDC) is disclosed. The method includes receiving a material data block (MDB), wherein the MDB includes a metadata portion and a payload portion. The method further includes extracting a first sequence from the metadata portion and generating a genomic engagement factor (GEF) based on the sequence, a genomic differentiation object assigned to the creator VDAX, and genomic regulation instructions (GRI) that are maintained by the creator VDAX. The method further includes generating a creator value corresponding to the MDB based on the first GEF and the MDB and digitally signing the MDB with the creator value. The method includes providing the unnotarized MDB to one or more notary cohorts; and receiving a respective notary value from each of the notary cohorts, wherein each notary value is generated using respective GRI and genomic differentiation object maintained by a respective notary.