{"title":"RFLP-kenzy: a new bioinformatics tool for in silico detection of key restriction enzyme in RFLP technique","authors":"Nora Laref, Khadidja Belkheir, Mohamed Belazreg, Abdelhadi Hireche","doi":"10.1186/s43088-024-00531-8","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Today, several bioinformatics tools are available for analyzing restriction fragment length data. RFLP-kenzy is a new bioinformatic tool for identifying restriction key enzyme that cut at least 1 sequence and a maximum of n-1 sequence.</p><h3>Results</h3><p>This bioinformatic tool helps researchers to select appropriate enzymes that yield different RFLP patterns, especially from overly identical sequences with single nucleotide mutation or other small variations. By using RFLP-kenzy, multiple DNA sequences could be analyzed simultaneously and the key enzymes list is provided. The present paper also demonstrates the ability of RFLP-kenzy to identify the key enzymes through the analysis of 16S rRNA sequences and the complete genome of various genera of microorganisms.</p><h3>Conclusion</h3><p>From the results, several key enzymes were provided indicating the importance of this new tool in the selection of appropriate restriction enzymes.</p></div>","PeriodicalId":481,"journal":{"name":"Beni-Suef University Journal of Basic and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bjbas.springeropen.com/counter/pdf/10.1186/s43088-024-00531-8","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Beni-Suef University Journal of Basic and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s43088-024-00531-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Today, several bioinformatics tools are available for analyzing restriction fragment length data. RFLP-kenzy is a new bioinformatic tool for identifying restriction key enzyme that cut at least 1 sequence and a maximum of n-1 sequence.
Results
This bioinformatic tool helps researchers to select appropriate enzymes that yield different RFLP patterns, especially from overly identical sequences with single nucleotide mutation or other small variations. By using RFLP-kenzy, multiple DNA sequences could be analyzed simultaneously and the key enzymes list is provided. The present paper also demonstrates the ability of RFLP-kenzy to identify the key enzymes through the analysis of 16S rRNA sequences and the complete genome of various genera of microorganisms.
Conclusion
From the results, several key enzymes were provided indicating the importance of this new tool in the selection of appropriate restriction enzymes.
期刊介绍:
Beni-Suef University Journal of Basic and Applied Sciences (BJBAS) is a peer-reviewed, open-access journal. This journal welcomes submissions of original research, literature reviews, and editorials in its respected fields of fundamental science, applied science (with a particular focus on the fields of applied nanotechnology and biotechnology), medical sciences, pharmaceutical sciences, and engineering. The multidisciplinary aspects of the journal encourage global collaboration between researchers in multiple fields and provide cross-disciplinary dissemination of findings.