BEdeepon: an in silico tool for prediction of base editor efficiencies and outcomes

Base editors enable direct conversion of one target base into another in a programmable manner, but conversion efficiencies vary dramatically among different targets. Here, we performed a high-throughput gRNA-target library screening to measure conversion efficiencies and outcome product frequencies at integrated genomic targets and obtained datasets of 60,615 and 73,303 targets for ABE and CBE, respectively. We used the datasets to train deep learning models, resulting in ABEdeepon and CBEdeepon which can predict on-target efficiencies and outcome sequence frequencies. The software is freely accessible via online web server http://www.deephf.com/#/bedeep.

On the number of ones in outcome sequence of extended Pohl generator

Formulas for distributions of number of ones (non-zeroes) in the cycle of the output sequence of generalized binary Pohl generator are obtained. Limit theorems for these distributions are derived in the case when the lengths of registers are coprime and tend to infinity, the contents of different registers are independent, but cell contents within each register may be dependent. The consequences of these theorems are given for the case when the contents of cells are independent random variables having equiprobable distribution on {0, 1}.

Interactive gaps and cause-effect-outcomes in processes and interfaces of teleological service encounters

Purpose The study aims to describe the interactive gaps between service receiver learning curves and service provider adaptive curves, as well as the cause-effect-outcome in processes and interfaces of service encounters, through the perspective of teleological actions. Design/methodology/approach This paper includes a qualitative study based on non-probability sampling of informants (air passengers). Findings The empirical findings indicate interactive gaps in teleological service encounters and a cause-effect-outcome sequence in the associated processes and interfaces. Research limitations/implications The study provides knowledge on how to manage the interactive interface between a service provider and a service receiver and a foundation for enhancing complaint handling in service encounters after critical incidents have occurred. Practical implications Service providers need to balance their teleological actions in relation to the service receivers’ teleological actions when critical incidents occur. Originality/value The paper takes into account service receiver teleological learning curves in relation to service provider teleological adaptive curves in an interactive transformative service encounter (TSE)-model that provides multiple opportunities for further research.