Abstract: A HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols is provided. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. Methods for isolating clonal populations derived from individual fungal spores are also provided.

Abstract: A HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols is provided. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. Methods for isolating clonal populations derived from individual fungal spores are also provided.

Abstract: HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. Methods can be carried out within optofluidic devices.

Abstract: A HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols is provided. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. Methods for isolating clonal populations derived from individual fungal spores are also provided.

Abstract: Aspects of this disclosure relate to liquid-based workflows for strain engineering. In strain engineering, cells undergo a modification process to acquire a desired change or changes in the cells. Some of the cells accept the change or changes and some do not. Provided herein are liquid-based methods for selecting the population of cells that have accepted the change or changes. Also provided herein are liquid-based methods for removing markers from transformed cells and liquid-based methods for isolating clonally pure populations of cells.

Abstract: A HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols is provided. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. Methods for isolating clonal populations derived from individual fungal spores are also provided.

Abstract: The present disclosure provides a HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition.

Abstract: The present disclosure provides a HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition.

Abstract: Systems, methods and computer-readable media are provided to predict properties of a material that is related to a bioreachable molecule by generating a chemical model of the material based on physicochemical properties and predicting properties of the material based at least in part upon the chemical model and correlative modeling. The material may comprise in its chemical structure one or more instances of the bioreachable molecule. The material may comprise in its chemical structure the bioreachable molecule or at least one semi-synthetic molecule derived from the bioreachable molecule, or a combination thereof.

Abstract: Aspects of this disclosure relate to liquid-based workflows for strain engineering. In strain engineering, cells undergo a modification process to acquire a desired change or changes in the cells. Some of the cells accept the change or changes and some do not. Provided herein are liquid-based methods for selecting the population of cells that have accepted the change or changes. Also provided herein are liquid-based methods for removing markers from transformed cells and liquid-based methods for isolating clonally pure populations of cells.

Abstract: In accordance with the embodiments, when a device carried with a user enters a zone, Web content associated with that zone is dynamically generated and sent to the user's cell phone, portable computer, or other device capable of displaying the content. Content can include traffic conditions for travel routes through the zone, alternate travel routes, sales for stores located in or around the zone, and weather reports for the zone. The location and movement of the device is tracked by using cellular network towers, GPS components, WiFi locators, or any combination of these. In other embodiments, the location or movement triggers a control signal to be sent to a device, for example, to turn it on as a vehicle being tracked nears its destination.