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Found 6 papers, 1 papers with code
Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data
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.
Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments
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.
High Performance Multiple Sequence Alignment Algorithms for Comparison of Microbial Genomes
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.
Dynamic Programming Algorithms for Discovery of Antibiotic Resistance in Microbial Genomes
The translation of comparative genomics into clinical decision support tools often depends on the quality of sequence alignments.
Chat Failures and Troubles: Reasons and Solutions
This paper examines some common problems in Human-Robot Interaction (HRI) causing failures and troubles in Chat.
Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
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.
