REAL-TIME PATHOGEN DETECTION IN THE ERA OF WHOLE-GENOME SEQUENCING AND BIG DATA: COMPARISON OF K-MER AND SITE-BASED METHODS FOR INFERRING THE GENETIC DISTANCES AMONG TENS OF THOUSANDS OF SALMONELLA SAMPLES.

Real-Time Pathogen Detection in the Era of Whole-Genome Sequencing and Big Data: Comparison of k-mer and Site-Based Methods for Inferring the Genetic Distances among Tens of Thousands of Salmonella Samples.

The adoption of whole-genome sequencing within the public health realm for molecular characterization of bacterial pathogens has been followed by an increased emphasis on real-time detection of emerging outbreaks (e.g., food-borne Salmonellosis).In Rethermalizers turn, large databases of whole-genome sequence data are being populated.These database

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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction

In this paper, we propose an improved version of the Pyramidal Predictive Network (PPNV2), a theoretical framework inspired by predictive coding, which addresses the limitations of its predecessor (PPNV1) in the task of future perception prediction.While PPNV1 employed a temporal pyramid architecture Rethermalizers and demonstrated promising result

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