Abstract: A display apparatus includes a display panel including a pixel to display an image based on input image data, a driving controller which determines a driving frequency of a first display area of the display panel to be a first driving frequency and determines a driving frequency of a second display area of the display panel to be a second driving frequency less than the first driving frequency when the first display area displays a moving image and the second display area of the display panel displays a still image, and an emission driver which outputs a moving image emission signal corresponding to the first driving frequency and a still image emission signal corresponding to the second driving frequency to the display panel. A width of a non-emission period of the still image emission signal is greater than a width of a non-emission period of the moving image emission signal.

Abstract: A pixel includes: a storage capacitor connected between a first power supply voltage and a gate node; a first transistor including a gate electrode connected to the gate node; a second transistor to transfer a data signal to a source of the first transistor in response to a scan signal; a third transistor to diode-connect the first transistor in response to the scan signal, and including first and second sub-transistors serially connected between the gate node and a drain of the first transistor; a fourth transistor to transfer an initialization voltage to the gate node in response to an initialization signal, and including third and fourth sub-transistors serially connected between the gate node and the initialization voltage; and an organic light emitting diode including a cathode connected to a second power supply voltage. At least one of the second and fourth sub-transistors includes a bottom electrode.

Abstract: A display device includes a display panel including a first partial panel region and a second partial panel region, and a panel driver which drives the display panel. The panel driver determines a first driving frequency for the first partial panel region and a second driving frequency for the second partial panel region. In a case where the first driving frequency and the second driving frequency are different from each other, the panel driver sets a boundary portion including a boundary between the first partial panel region and the second partial panel region, and determines a third driving frequency for the boundary portion to be between the first driving frequency and the second driving frequency.

Abstract: A system for predicting prime editing efficiency by using deep learning, including: an information input unit that receives an input of data on prime editing efficiency of a prime editor, a predictive model generator for generating prime editing efficiency predictive models by performing deep learning to learn a relationship between features affecting prime editing efficiency and prime editing efficiency, by using the data received from the information input unit, a candidate sequence input unit that receives an input of a candidate target sequence for prime editing; and an efficiency predictor for predicting prime editing efficiency by applying the candidate target sequence input into the candidate sequence input unit to an efficiency predictive model generated in the predictive model generator.

Abstract: Provided are: a method of modifying a target nucleic acid in the genome of a cell by using a novel PAM sequence; and a cell in which a target nucleic acid of the genome of the cell is modified by the method. Accordingly, genome editing may be performed by targeting a position, which has not been previously targeted, as a target for genome editing, and thus the range of applications of genome editing may be expanded.

Abstract: Provided are: a method for modifying a target nucleic acid in the genome of a cell using a novel PAM sequence; and a cell in which a target nucleic acid in the genome is modified thereby. Accordingly, genome editing can be performed by targeting a position that could not be previously targeted as a target for genome editing, and thus the range of applications of genome editing can be expanded.

Abstract: The present invention relates to a method for evaluating the activity of an RNA-guided nuclease in a cell in a high-throughput manner, and specifically to a method for evaluating the activity of an RNA-guided nuclease from the indel frequency of a cell library including an isolated oligonucleotide that comprises a guide RNA-encoding nucleotide sequence and a target nucleotide sequence. The method for analyzing the characteristics of an RNA-guided nuclease using the guide RNA-target sequence pair library of the present invention enables the evaluation of the activity of the RNA-guided nuclease in vivo in a high-throughput manner, and thus, the method can be very effectively utilized in all of the fields where the RNA-guided nuclease is applied.