RFLP-kenzy: a new bioinformatics tool for in silico detection of key restriction enzyme in RFLP technique

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.

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Publication Details

Journal
Beni-Suef University Journal of Basic and Applied Sciences
Published
2024-09-02
DOI
https://doi.org/10.1186/s43088-024-00531-8
Primary Topic
RNA and protein synthesis mechanisms
Type
article
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article

RFLP-kenzy: a new bioinformatics tool for in silico detection of key restriction enzyme in RFLP technique

Khadidja Belkheir, Nora Laref, Mohamed Belazreg, Abdelhadi Hireche
Beni-Suef University Journal of Basic and Applied Sciences
RNA and protein synthesis mechanisms
article

RFLP-kenzy: a new bioinformatics tool for in silico detection of key restriction enzyme in RFLP technique

Khadidja Belkheir, Nora Laref, Mohamed Belazreg, Abdelhadi Hireche
article en

Abstract

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.

Beni-Suef University Journal of Basic and Applied SciencesVol. 13(1)
United Arab Emirates University (AE), Ahmed Zabana University - Relizane (DZ)
Openalex Percentile: Top 87%
RNA and protein synthesis mechanisms
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