Related Experiment Video
Updated: Nov 13, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
Classification of Enterobacteriaceae by minimization of stochastic complexity
H G Gyllenberg1, M Gyllenberg2, T Koski3,2
1Institute of Biotechnology, University of Helsinki, 00014 Helsinki, Finland.
Abstract:
A new method for classifying bacteria is presented and applied to a large set of biochemical data for the Enterobacteriaceae. The method minimizes the bits needed to encode the classes and the items or, equivalently, maximizes the information content of the classification. The resulting taxonomy of Enterobacteriaceae corresponds well to the general structure of earlier classifications. Minimization of stochastic complexity can be considered as a useful tool to create bacterial classifications that are optimal from the point of view of information theory.
More Related Videos
14:06Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
Published on: November 12, 2012
14:58Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
Published on: November 12, 2012
Related Concept Videos
Modern Molecular Taxonomy
Microbial Classification System
Methods of Classification and Identification
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Bacterial Phylum Tenericutes
Stringent Response in E. coli