14 citations · 30 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
Spinal Muscle Atrophy Disease Modelling as Bayesian Network
Mohammed Ezzat Helal, Manal Ezzat Helal, Sherif Fadel Fahmy
We investigate the molecular gene expressions studies and public databases for disease modelling using Probabilistic Graphical Models and Bayesian Inference. A case study on Spinal…
Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
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…
Chat Failures and Troubles: Reasons and Solutions
Manal Helal, Patrick Holthaus, Gabriella Lakatos +1
This paper examines some common problems in Human-Robot Interaction (HRI) causing failures and troubles in Chat. A given use case's design decisions start with the suitable robot,…
Patent Mining by Extracting Functional Analysis Information Modelled As Graph Structure: A Patent Knowledge-base Collaborative Building Approach
Manal E. Helal, Mohammed E. Helal
Patents provide a rich source of information about design innovations. Patent mining techniques employ various technologies, such as text mining, machine learning, natural language…