Abstract: The present disclosure provides a non-naturally occurring CRISPR-Cas system comprising: a Cas9 effector protein capable of generating cohesive ends (stiCas9), and a guide polynucleotide that forms a complex with the stiCas9 and comprising a guide sequence, wherein the guide sequence hybridizes with a target sequence in a eukaryotic cell but does not hybridize to a sequence in a bacterial cell, and wherein the complex does not occur in nature. The present disclosure also provides a method of introducing a sequence of interest into a chromosome of a cell. Finally, the present disclosure provides for a method of modifying one or more nucleotides using seamless mutagenesis.

Abstract: A system of optimizing a target result receives, by a client input server, a target result from a user, where the target result comprises at least one of a goal, and a statistical probability that the target result is achievable, and where the target result is to be achieved during a time period. The system compiles, by an output server, an interactive strategy comprising a timeline to achieve the target result. The system optimizes at least a portion of the interactive strategy by modeling at least one future performance model associated with the target result, and determining an optimal strategy for the target result comprising a target result value. The system renders the optimized interactive strategy, the statistical probability, and the target result for the user on a real-time interactive display, where the statistical probability is predictive of achieving the target results.

Abstract: A system of optimizing a target result receives, by a client input server, a target result from a user, where the target result comprises at least one of a goal, and a statistical probability that the target result is achievable, and where the target result is to be achieved during a time period. The system compiles, by an output server, an interactive strategy comprising a timeline to achieve the target result. The system optimizes at least a portion of the interactive strategy by modeling at least one future performance model associated with the target result, and determining an optimal strategy for the target result comprising a target result value. The system renders the optimized interactive strategy, the statistical probability, and the target result for the user on a real-time interactive display, where the statistical probability is predictive of achieving the target results.

Abstract: A system of optimizing a target result receives, by a client input server, a target result from a user, where the target result comprises at least one of a goal, and a statistical probability that the target result is achievable, and where the target result is to be achieved during a time period. The system compiles, by an output server, an interactive strategy comprising a timeline to achieve the target result. The system optimizes at least a portion of the interactive strategy by modeling at least one future performance model associated with the target result, and determining an optimal strategy for the target result comprising a target result value. The system renders the optimized interactive strategy, the statistical probability, and the target result for the user on a real-time interactive display, where the statistical probability is predictive of achieving the target results.