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Advances in Bioinformatics
Volume 2015 (2015), Article ID 303605, 14 pages
Research Article

FN-Identify: Novel Restriction Enzymes-Based Method for Bacterial Identification in Absence of Genome Sequencing

1Department of Biotechnology, Faculty of Agriculture, Al-Azhar University, Cairo 11651, Egypt
2Department of Information Technology, Faculty of Computer and Information Sciences, Mansoura University, Mansoura 35516, Egypt
3Department of Applied Biology, College of Sciences, University of Sharjah, P.O. Box 27272, Sharjah, UAE
4Donnelly Centre for Cellular and Biomedical Research, University of Toronto, Toronto, ON, Canada M5S 3E1

Received 31 July 2015; Revised 25 November 2015; Accepted 29 November 2015

Academic Editor: Paul Harrison

Copyright © 2015 Mohamed Awad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The supplementary materials include seven supplementary figures and 12 supplementary tables. Supplementary figure 1 is an illustration of expected restriction results of two Lactobacillus strains. Supplementary figures 2 and 3 are the Identification schemes of Lactobacillus using fragments numbers or fragments numbers and fragments size of HSP60 gene. Supplementary figures 4-7 are the Identification schemes of Pseudomonas and Mycobacterium using fragments numbers only or fragments number and fragments size of 16S RNA gene. Supplementary tables 1-4 list the details of species and strains of Pseudomonas and Mycobacterium that used in this study. Supplementary tables 5-12 are the restriction maps of the species and strains of Lactobacillus, Pseudomonas and Mycobacterium used as input to FN-Identify.

  1. Supplementary Materials