An application for semi-automatic HPV typing of PCR-RFLP images

Authors:
Christos Maramis;Evangelia Minga;Anastasios Delopoulos
Affiliations:
Dept. of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece;Dept. of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece;Dept. of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Venue:
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Year:
2010

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Abstract

The human papillomavirus, coming in over 100 flavors/types, is the causal factor of cervical cancer. The identification of the types that have infected the cervix of a patient is a very laborious yet critical task for molecular biologists that is still performed manually. HPVTyper is a novel research software application that assists biologists by analyzing digitized images of electrophorized gel matrices that contain cervical samples processed by the PCR-RFLP technique in order to semi-automatically identify the existing types of the virus. HPVTyper has been designed to be functional under minimum user input conditions and yet to allow the user to intervene in any step of the typing procedure.