DIMSUM: AN ERROR MODEL AND PIPELINE FOR ANALYZING DEEP MUTATIONAL SCANNING DATA AND DIAGNOSING COMMON EXPERIMENTAL PATHOLOGIES

DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies

Abstract Deep mutational scanning (DMS) enables multiplexed measurement of the effects of thousands of variants of proteins, RNAs, and regulatory elements.Here, we present a customizable pipeline, DiMSum, that represents an end-to-end solution for obtaining variant fitness Pedal Arm Gear Set and error estimates from raw sequencing data.A key innova

read more



Distributed Multi-Target Search and Surveillance Mission Planning for Unmanned Aerial Vehicles in Uncertain Environments

In this paper, a distributed, autonomous, cooperative mission-planning (DACMP) approach was proposed to focus on the problem of the real-time cooperative searching and surveillance of multiple unmanned aerial vehicles (multi-UAVs) Cordless Sweeper with threats in uncertain and highly dynamic environments.To deal with this problem, a time-varying pr

read more