Human polyomaviruses identification by logic mining techniques.

ABSTRACT:

Background

Differences in genomic sequences are crucial for the classification of viruses into different species. In this work, viral DNA sequences belonging to the human polyomaviruses BKPyV, JCPyV, KIPyV, WUPyV, and MCPyV are analyzed using a logic data mining method in order to identify the nucleotides which are able to distinguish the five different human polyomaviruses.

Results

The approach presented in this work is successful as it discovers several logic rules that effectively characterize the different five studied polyomaviruses. The individuated logic rules are able to separate precisely one viral type from the other and to assign an unknown DNA sequence to one of the five analyzed polyomaviruses.

Conclusions

The data mining analysis is performed by consider

SUBMITTER: Weitschek E 

PROVIDER: S-EPMC3307486 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature