collaborators

8 papers

q-bio.GN2023

High Performance Multiple Sequence Alignment Algorithms for Comparison of Microbial Genomes

Manal Helal, Hossam El-Gindy, Bruno Gaeta +1

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. We explore deficienci…

q-bio.GN2023

Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data

Manal Helal, Fanrong Kong, Sharon C. A. Chen +3

The intra- and inter-species genetic diversity of bacteria and the absence of 'reference', or the most representative, sequences of individual species present a significant challen…

q-bio.GN2023

Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments

Manal Helal, Fanrong Kong, Sharon C-A Chen +4

The aim of this study was to develop a method that would identify the cluster centroids and the optimal number of clusters for a given sensitivity level and could work equally well…

cs.DC2023

Performance Evaluation of Checkpoint/Restart Techniques

Basma Abdel Azeem, Manal Helal

Distributed applications running on a large cluster environment, such as the cloud instances will have shorter execution time. However, the application might suffer from sudden ter…

q-bio.GN2023

Dynamic Programming Algorithms for Discovery of Antibiotic Resistance in Microbial Genomes

Manal Helal, Vitali Sintchenko

The translation of comparative genomics into clinical decision support tools often depends on the quality of sequence alignments. However, currently used methods of multiple sequen…

cs.DC2023

Parallelizing Optimal Multiple Sequence Alignment by Dynamic Programming

Manal Helal, Hossam El-Gindy, Lenore Mullin +1

Optimal multiple sequence alignment by dynamic programming, like many highly dimensional scientific computing problems, has failed to benefit from the improvements in computing per…