Abstract: Provided herein are machine learning-based methods for assessing the combined impact of multiple genetic variants, as well as the uses of such methods for various applications, such as in synthetic biology, personalized medicine, agricultural breeding, and genetic engineering. Also provided herein are exemplar computer-readable storage media and electronic devices for performing such methods.

Abstract: Compositions and methods related to Cas proteins, nucleic acids encoding the Cas proteins, and modified host cells comprising the Cas proteins and/or encoding nucleic acids are disclosed. Cas proteins are useful in a variety of applications. Cas proteins bind guide RNAs that in turn provide functional specificity to the Cas proteins, nucleic acids encoding the Cas guide RNAs, and modified host cells comprising the Cas guide RNAs and/or encoding nucleic acids. The Cas polypeptides and corresponding guide RNAs can be used in a variety of applications.

Abstract: Provided herein are methods for assessing genetic variants for use in genetically improving organisms and in human genetics and medicine. Also provided herein are systems for implementing such methods, as well as computer-readable storage media storing instructions for performing such methods.