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 • 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 • 20 Nov 2022 • Sheryl L. Chang, Quang Dang Nguyen, Alexandra Martiniuk, Vitali Sintchenko, Tania C. Sorrell, Mikhail Prokopenko
Our study delineated distinct phases of the Omicron-associated pandemic stage, and retrospectively quantified the adoption of social distancing measures, fluctuating over different time periods in response to the observable incidence dynamics.
no code implementations • 14 Jan 2022 • Adam J. Svahn, Sheryl L. Chang, Rebecca J. Rockett, Oliver M. Cliff, Qinning Wang, Alicia Arnott, Marc Ramsperger, Tania C. Sorrell, Vitali Sintchenko, Mikhail Prokopenko
Results: Outbreak isolates were identifiable as distinct components on the MLVA and SNP networks.