BACK TO CONTENTS   |    PDF   |    PREVIOUS   |   

Title

Universal Fingerprinting Chip Server

 

Authors

Janet Casique-Almazán, Violeta Larios-Serrato, Gabriela Edith Olguín-Ruíz, Carlos Javier Sánchez-Vallejo, Rogelio Maldonado-Rodríguez & Alfonso Méndez-Tenorio*

 

Affiliation

Laboratory of Biotechnology and Genomic Bioinformatics, Department of Biochemistry, National School of Biological Sciences, National Polytechnic Institute, CP 11340, Mexico City, Mexico

 

Email

amendezt@ipn.mx; *Corresponding author

 

Article Type

Server

Date

Received May 23, 2012; Accepted June 16, 2012; Published June 28, 2012

 

Abstract

The Virtual Hybridization approach predicts the most probable hybridization sites across a target nucleic acid of known sequence, including both perfect and mismatched pairings. Potential hybridization sites, having a user-defined minimum number of bases that are paired with the oligonucleotide probe, are first identified. Then free energy values are evaluated for each potential hybridization site, and if it has a calculated free energy of equal or higher negative value than a user-defined free energy cut-off value, it is considered as a site of high probability of hybridization. The Universal Fingerprinting Chip Applications Server contains the software for visualizing predicted hybridization patterns, which yields a simulated hybridization fingerprint that can be compared with experimentally derived fingerprints or with a virtual fingerprint arising from a different sample.

 

Availabilty

http://bioinformatica.homelinux.org/UFCVH/

 

Keywords

Fingerprinting, universal, microarray, phylogenetic, virtual hybridization.

 

Citation

Casique-Almazán et al. Bioinformation 8(12): 586-588 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.