BioCluster: tool for identification and clustering of Enterobacteriaceae based on biochemical data.

ABSTRACT: Presumptive identification of different Enterobacteriaceae species is routinely achieved based on biochemical properties. Traditional practice includes manual comparison of each biochemical property of the unknown sample with known reference samples and inference of its identity based on the maximum similarity pattern with the known samples. This process is labor-intensive, time-consuming, error-prone, and subjective. Therefore, automation of sorting and similarity in calculation would be advantageous. Here we present a MATLAB-based graphical user interface (GUI) tool named BioCluster. This tool was designed for automated clustering and identification of Enterobacteriaceae based on biochemical test results. In this tool, we used two types of algorithms, i.e., traditional hierarchical clust

SUBMITTER: Abdullah A 

PROVIDER: S-EPMC4563349 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature