Engineered CRISPR-Cas9 nucleases with altered and improved PAM specificities and their use in genomic engineering, epigenomic engineering, and genome targeting.

The present invention relates to agents that modulate/regulate the activity of the protein TMEM230 for use in the therapeutic treatment of pathologies in which therapeutic regulation of angiogenesis is advisable or necessary.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for fish weight estimation based on fish tracks identified in images. In some implementations, a method includes obtaining images of fish enclosed in a fish enclosure, identifying fish tracks shown in the images of the fish, determining a quality score for each of the fish tracks, selecting a subset of the fish tracks based on the quality scores, determining a representative weight of the fish in the fish enclosure based on weights of the fish shown in the subset of the fish tracks, and outputting the representative weight for display or storage at a device connected to the one or more processors.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sensor data processing. The method may include the actions of obtaining sensor data regarding aquatic livestock over periods of time, where the sensor data is captured by at least one sensor at different depths, determining, for each of the periods of time, whether the sensor data captured at different depths during the period of time satisfy one or more evaluation criteria, generating an input data set that concatenates representations of the periods of time, providing the input data set to a machine-learning trained model, receiving, as an output from the machine-learning trained model, an indication of an action to be performed for the aquatic livestock, and initiating performance of the action for the aquatic livestock.

Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying clinical variants of unknown or uncertain significance into a pathogenicity category using measured phenotype features extracted from phenotype assays of transgenic organism expressing the human clinical variant. Embodiments of the present invention relate generally to methods for generating classifier models using machine learning and use of those classifier models to predict the pathogenicity of a clinical variant for a specific human disease (e.g. genetic disease), assigning a patient clinical variant to a pathogenicity category (e.g. pathogenic or benign) for the specific human disease to determine whether that patient should be followed up with additional, more invasive diagnostic testing, or treatment.

Provided herein are methods for enhancing survival of a neuron, for inhibiting degeneration of a neuron, and for inhibiting abnormal protein accumulation in a neuron, optionally a motor neuron, comprising, consisting or consisting essentially of increasing the level of cyclin F in the neuron regardless of the neuron's level or activity of endogenous cyclin F. Optionally the neuron is in a subject with a neurodegenerative condition or at risk of developing a neurodegenerative condition, typically a neurodegenerative condition associated with a neuronal TDP-43 proteinopathy.

A floatable fish tank comprising: a hull having a lower part with side and bottom walls, the lower part forming an enclosure for fish; a deck arranged at an upper part of the hull; a central column fixed within the hull, wherein the central column is closed at its lower end section and extends from the bottom wall to the deck.

A mount including a base and a handle. The base is capable of releasably coupling to a pole, for example outrigger poles, fishing rods, and shade poles. A handle of the mount can be loosened to allow the base to be rotated to position the pole in a desired extended direction. When the handle is tightened, the base is restricted from rotating.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for fish weight estimation based on fish tracks identified in images. In some implementations, a method includes obtaining images of fish enclosed in a fish enclosure, identifying fish tracks shown in the images of the fish, determining a quality score for each of the fish tracks, selecting a subset of the fish tracks based on the quality scores, determining a representative weight of the fish in the fish enclosure based on weights of the fish shown in the subset of the fish tracks, and outputting the representative weight for display or storage at a device connected to the one or more processors.

Descried in certain example embodiments herein are engineered fish, particularly engineered catfish, that are engineered to contain modified myostatin, melanocortin-4 receptor, and/or one or more n-3 fatty acid biosynthesis pathway genes and/or gene products.