Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

This invention relates to a method of selecting a collection of frame-shift peptides (CFSPs) to produce a universal cancer vaccine peptide collection (CVP) for prophylaxis and treatment of patients with hereditary and sporadic micro-satellite instability (MSI) tumors. This invention relates as well to a method of producing a CVP by selecting a subset of frame-shift peptides (FSPs) from the CFSP and optionally modifying the FSP's amino acid (aa) sequence to generate modified FSPs (mFSPs). The invention further relates to nucleic acid collections encoding a CVP of FSPs and/or mFSPs in one or more vaccine vectors that can be used also simultaneously. These CVPs, nucleic acids and vectors are used for the prophylaxis or treatment of MSI cancers.

This invention relates to a method of selecting a collection of frame-shift peptides (CFSPs) to produce a universal cancer vaccine peptide collection (CVP) for prophylaxis and treatment of patients with hereditary and sporadic micro-satellite instability (MSI) tumors. This invention relates as well to a method of producing a CVP by selecting a subset of frame-shift peptides (FSPs) from the CFSP and optionally modifying the FSP's amino acid (aa) sequence to generate modified FSPs (mFSPs). The invention further relates to nucleic acid collections encoding a CVP of FSPs and/or mFSPs in one or more vaccine vectors that can be used also simultaneously. These CVPs, nucleic acids and vectors are used for the prophylaxis or treatment of MSI cancers.

The technology described herein is directed to methods of treating and diagnosing bronchial premalignant lesions, e.g. by determining the lesion subtype using one or more biomarkers described herein.

High-throughput production of modified microbes is achieved through optimization of directed build graph data structures representing biological workflows. Portions of otherwise unrelated workflows may be combined where they share common biological reaction steps, and processed by a genetic manufacturing facility to take advantage of operational efficiencies. Workflows may be mapped to physical laboratory equipment in a manner that optimizes material transfers. Different automated platforms running different machines in different languages are coordinated in a device-agnostic and language-agnostic manner.

High-throughput production of modified microbes is achieved through optimization of directed build graph data structures representing biological workflows. Portions of otherwise unrelated workflows may be combined where they share common biological reaction steps, and processed by a genetic manufacturing facility to take advantage of operational efficiencies. Workflows may be mapped to physical laboratory equipment in a manner that optimizes material transfers. Different automated platforms running different machines in different languages are coordinated in a device-agnostic and language-agnostic manner.

A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.

A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.

A system for generating an alimentary plan is disclosed. The system comprises a computing device which is configured to receive an input that includes physiological data related to a skin sample. Computing device is configured to extract a plurality of biological indicators related to disease state from the physiological data. Computing device is configured to determine a biological indicator score for each biological score for each biological indicator of the plurality of biological indicators. Computing device is configured to generate a skin disorder classifier by receiving skin disorder training data. The computing device is configured to classify, using the skin disorder classifier, the at least one biological indicator and the biological indicator score to a positive result for a skin disorder. Computing device is configured to generate an alimentary plan as a function of the positive result. A method for generating an alimentary plan is also disclosed.

A system for updating a descriptor trail using artificial intelligence. The system is configured to display on a graphical user interface operating on a processor connected to a memory an element of diagnostic data. The system is configured to receive from a user client device an element of user constitutional data. The system is configured to display on a graphical user interface the element of user constitutional data. The system is configured to prompt an advisor input on a graphical user interface. The system is configured to receive from an advisor client device an advisor input containing an element of advisory data. The system is configured to generate an updated descriptor trail as a function of the advisor input. The system is configured to display the updated descriptor trail on a graphical user interface.