SQRestriction: Bio-Informatics Software for Restriction Fragment Length Polymorphism of Batches of Sequences
Department of Cell Biology and Genetics, Alcala de Henares University Campus, Madrid 28871, Spain
- *Corresponding Author:
- Julio Perez-Marquez
Ph.D, Department of Cell Biology and Genetics
Alcala de Henares University Campus, Madrid 28871, Spain
Tel: (+34 91)8854797
Fax: (91) 8854799
E-mail: [email protected]
Received Date: July 24, 2014; Accepted Date: August 20, 2014; Published Date: August 22, 2014
Citation: Perez-Marquez J (2014) SQRestriction: Bio-Informatics Software for Restriction Fragment Length Polymorphism of Batches of Sequences. J Comput Sci Syst Biol 7:186-192. doi: 10.4172/jcsb.1000155
Copyright: © 2014 Perez-Marquez J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Objective: The existing informatics applications are specialized in particular aspects of the enzymatic restriction analysis of nucleotides sequences. In order to design an application that fulfills different needs of the investigation in restriction enzyme analysis, I have developed SQRestriction (SQR), a suite that compiles several utilities.
Methods: I applied object-oriented programming to set algorithms in C++ that compare the differences or similarities in the restriction sites of orthologous genes or in nucleotide sequences with single nucleotide polymorphisms, insertions or deletions.
Results: SQR is mainly a tool for the analysis of restriction fragment length polymorphisms but it has also other applications such as cloning of DNA; I demonstrate those functions in examples of different types of nucleotide sequences. I conducted a comparative analysis between SQR and existing software in the web; the main difference is that SQR is a suite of different applications that analyzes either one, two or multiple sequences of nucleotides.
Conclusion: I conclude that SQR is a competitive application since it offers differential features that are useful for academics and in laboratories of molecular biology. The SQRestriction software is open access at https://www2.uah.es/biologia_celular/JPM/SQR/SQR.html