Title
Robust classifying of prokaryotic genomes.
Abstract
In this paper, we propose a method to classify prokaryotic genomes using the agglomerative information bottleneck method for unsupervised clustering. Although the method we present here is closely related to a group of methods based on detecting the presence or absence of genes, our method is different because it uses gene lengths as well. We show that this amended method is reliable. For robustness evaluation, we apply bootstrap and jackknife techniques to input data. As a result, we are able to propose an approach to determine the stability level of a cladogram. We demonstrate that the genome tree produced for a selected small group of genomes looks a lot like a phylogenetic tree of this group.
Year
DOI
Venue
2012
10.1016/j.compbiolchem.2012.07.001
Computational Biology and Chemistry
Keywords
Field
DocType
phylogenetic tree,input data,gene length,jackknife technique,robustness evaluation,robust classifying,selected small group,prokaryotic genomes,agglomerative information bottleneck method,genome tree,stability level
Hierarchical clustering,Genome,Cladogram,Jackknife resampling,Phylogenetic tree,Biology,Bioinformatics,Phylogenomics,Information bottleneck method,Genetics,Cluster analysis
Journal
Volume
ISSN
Citations 
40
1476-928X
1
PageRank 
References 
Authors
0.45
66
3
Name
Order
Citations
PageRank
Katerina Korenblat151.23
Z. Volkovich27413.19
Alexander Bolshoy37712.73