no code implementations • 29 Nov 2023 • Manal Helal, Hossam El-Gindy, Bruno Gaeta, Vitali Sinchenko
Advances in gene sequencing have enabled in silico analyses of microbial genomes and have led to the revision of concepts of microbial taxonomy and evolution.
no code implementations • 29 Nov 2023 • Manal Helal, Fanrong Kong, Sharon C. A. Chen, Michael Bain, Richard Christen, Vitali Sintchenko
The most representative 16S rRNA sequences for individual Nocardia species have been identified as 'centroids' in respective clusters from which the distances to all other sequences were minimized; 110 16S rRNA gene sequences with identifications recorded only at the genus level were classified using machine learning methods.
no code implementations • 29 Nov 2023 • Manal Helal, Fanrong Kong, Sharon C-A Chen, Fei Zhou, Dominic E Dwyer, John Potter, Vitali Sintchenko
The combination of MSA with the linear mapping hash function is a computationally efficient way of gene sequence clustering and can be a valuable tool for the assessment of similarity, clustering of different microbial genomes, identifying reference sequences, and for the study of evolution of bacteria and viruses.
no code implementations • 29 Nov 2023 • Manal Helal, Vitali Sintchenko
The translation of comparative genomics into clinical decision support tools often depends on the quality of sequence alignments.
no code implementations • 7 Sep 2023 • Manal Helal, Patrick Holthaus, Gabriella Lakatos, Farshid Amirabdollahian
This paper examines some common problems in Human-Robot Interaction (HRI) causing failures and troubles in Chat.
1 code implementation • 5 Sep 2023 • Manal Helal
The burgeoning growth of public domain data and the increasing complexity of deep learning model architectures have underscored the need for more efficient data representation and analysis techniques.