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Kashif Raza Siddique
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- Student, Department of Biotechnology, Goel Institute of Technology and Management, Uttar Pradesh, India
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Abstract
nORI sites serve a critical function in DNA replication serving as the beginning point of the process. Identifying the spots appropriately means a lot and is important for the biologists working in the lab. Detecting the ORI is not only vital for the detection of replication sites but is also important in numerous biological processes. In this study, we offer a unique approach employing Python-based motif analysis to discover the ORI sites within the supplied genomic sequence. It also highlights the problems of finding the ORI site and what are the alternatives. The sequence of the nucleotides or the genome sequence of the organisms that are utilized in this study as a reference for the detection of ORI has been supplied in the reference section. In this study, we discuss the method will discovering the ORI of different organisms, we also share open-source Python programs and the genomic sequence that we utilized while completing this research. This research contributes to advance the field of bioinformatics by establishing a user-friendly framework for ORI site discovery, simplifying key exploration into DNA replication mechanisms and genome dynamics. In this paper, we have also spoken about the motif and the features. Also defined the circadian cycle and gene expressions and talked about the evening elements. Using skew arrays will increase the results and it will undoubtedly aid in detecting the ORI of complicated organisms like E. coli.
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Keywords: ORI sites, DNA replication, Python-based motif analysis, Genomic sequence, Bioinformatics
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Brain Sciences(ijbs)]
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References
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| Volume | ||
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | ||
| Received | March 25, 2024 | |
| Accepted | April 25, 2024 | |
| Published | April 29, 2024 |
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