[Qualitative and quantitative examination of bacteria found in aquatic habitats. 3. Communications: Recording the data for identification and analysing by numerical methods (author's transl)]

Area of Science:

• Microbiology
• Bioinformatics
• Computational Biology

Context:

• Accurate bacterial identification is crucial for quantitative and qualitative population analysis.
• Traditional methods can be labor-intensive and prone to error.
• Computer-assisted analysis offers potential for improved efficiency and accuracy.

Purpose:

• To develop a method for efficiently transferring bacterial identification criteria to computer-assisted analysis.
• To apply empirical and numerical methods for taxonomic evaluation.
• To demonstrate the utility of cluster analysis and formal descriptions in bacterial classification.

Summary:

• A specialized sheet for optical page marks was created to facilitate the transfer of extensive bacterial identification data.
• Empirical and numerical methods, employing various metrics, were utilized for taxonomic evaluation.
• The single-linkage method was used for cluster formation, with an example illustrating the application of cluster analysis and formal descriptions for bacterial classification.

Impact:

• Enables more efficient and accurate quantitative and qualitative determination of bacterial populations.
• Provides a standardized approach for data transfer in bacterial identification.
• Facilitates the classification of bacteria through advanced computational techniques.