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71 articles for “Genomic Analysis”
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AI-Driven Predictive Biotechnology Framework for Modeling Viral Mutation Hotspots Using Genomic Sequence Analysis
Abstract: Viral mutations represent one of the most critical challenges in global public health because genetic changes in viruses can significantly influence transmissibility, virulence, immune escape capability, and resistance to antiviral treatments. RNA viruses in particular exhibit high mutation rates due to error-prone replication mechanisms, making them capable of evolving rapidly in response to environmental pressures and host immune defenses. Traditional virological research primarily relies on retrospective genomic analysis, where viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Identifying Origin of Replication (ORI) sites in genomic sequence using Python-based programming and Motif analysis in Bioinformatics
Abstract: ORI 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 …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 22–33 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Pharmacogenomics: Unlocking the Genetic Basis of Drug Response for Precision Medicine
Abstract: Pharmacogenomics, a fusion of pharmacology and genomics, explores how genetic variations influence individual responses to medications. This field is revolutionizing modern medicine by moving away from a one-size-fits-all approach toward personalized treatment strategies. By identifying specific genetic markers, pharmacogenomics aims to enhance drug efficacy, minimize adverse drug reactions, and improve overall patient outcomes. Key methodologies in this discipline include candidate gene analysis, genome-wide association studies, and haplotype analysis, all of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
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Bioinformatics Tools and Databases for Functional Annotation of Genomes
Abstract: Functional annotation of genomes plays a crucial role in understanding the functions and characteristics of genes. Bioinformatics tools and databases have greatly contributed to this field by providing valuable resources for gene function prediction, pathway analysis, and comparative genomics. This abstract provides an overview of these tools and databases and highlights their significance in functional annotation. Ensembl is a popular bioinformatics tool that offers comprehensive genome annotation and browsing capabilities. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 31–35 Read article
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Genetic Diversity and Characterization of Ocimum sanctum Collected from Anand, Central Gujarat Region, by PCR-based RAPD Markers
Abstract: Genetic relationships were examined among thirty germplasm accessions belonging to ten Ocimum species using RAPD markers. A very high degree of polymorphism (98.92%) was observed. UPGMA cluster analysis of genetic similarity indices grouped all the accessions into two major clusters corresponding to previously reported botanical sections. Intra-clustering within the two clusters precisely grouped the accessions belonging to one species in onesub-cluster as expected from their genetic background. Results of this …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 3, Issue 2, 2013 · pp. 6–12 Read article
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Genetic Authentication of Acacia Senegal (L.) Wild
Abstract: A study was carried out to ascertain the taxonomic identity and phylogenetic lineage of three presumed Acacia senegalensis using molecular markers. Three (3) varieties of seeds presumed to belong to Acacia spp. were collected from the Rubber Research Institute of Nigeria (RRIN) Benin City and three BP haplotypes (A, B, and C) was used as control for the analysis. These seeds were processed at the Applied Biotech International Laboratory Nigeria …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 33–39 Read article
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Efficacy of Combination Therapy with Osimertinib and Afatinib in epidermal growth factor receptor-mutant non-small-cell lung cancer Patients
Abstract: Treatment options for patients with non-small-cell lung cancer who have epidermal growth factor receptor mutations are constrained by the emergence of resistance to epidermal growth factor receptor tyrosine kinase inhibitors. Osimertinib or afatinib alone, when tested in a laboratory model, led to the formation of drug-resistant clones harboring epidermal growth factor receptor secondary mutations. However, combining these drugs prevented the emergence of such mutations. In a Phase II clinical trial, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 1, 2024 · pp. 13–24 Read article
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Comprehensive Review of Adenoid Cystic Carcinoma: Pathogenesis, Diagnosis, and Emerging Therapeutic Approaches
Abstract: Adenoid cystic carcinoma (ACC)is an infrequent neoplasm, highly malignant, that develops mainly in the salivary glands with the potential to exist in any secretory glandular sites, including the lacrimal glands, breast, and respiratory tract. ACC usually has a benign initial course, but conversely, it is notoriously aggressive in behavior with high incidence of perineural invasion, local recurrence, and distant metastasis, mostly to the lungs. The tumor’s molecular features are characterized …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–17 Read article
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Blockchain-based Privacy-preserving Data Sharing in Healthcare Systems
Abstract: Healthcare systems contain expansive yet fragmented sensitive data necessitating secure consolidated access mechanisms respecting patient consent preferences continually. This research develops a decentralized blockchain framework orchestrating granular authorization using cryptography while demonstrating efficacy via clinical implementations optimizing cancer diagnostics through aggregated genome analysis otherwise prohibited under isolated datasets. Comparative benchmarking against traditional database models evaluates correctness, interoperability, and auditability improvements using multiparty endorsement affirming consented transactions. Quantified metrics guide technology …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 28–34 Read article
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Messenger RNA Approach for Identifying Inter-nucleotide Signals using Genomic Sequences
Abstract: The inter-nucleotide signals are a novel way of genomic signal representation of genomic data which is seen to have a discriminatory capability in highlighting the promoter region of gene sequences. The results of applying DFT to in genomic sequence signals that they can discriminate using messenger RNA for identifying inter nucleotide sequences. Genomic Signal Processing (GSP) applications in bioinformatics research have received great attention in recent years, where new effective …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 1, 2014 · pp. 16–20 Read article
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To Explore and Download the Genome Sequence of Drosophila Melanogaster at NCBI
Abstract: Drosophila melanogaster is one of the most intensively studied organisms in biology, serving as a model system for many developmental and cellular processes shared by higher eukaryotes, including humans. A shotgun whole-genome sequencing strategy was used to sequence almost the entire nucleotide of the approximately 120-megamegabase euchromatic portion of the Drosophila genome. It is supported by extensive clone-based sequences and high quality bacterial artificial chromosome maps. Work is being done …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 4–6 Read article
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Evaluation of Penalized Estimation Methods for Big Data Analysis
Abstract: In this paper we described the sparse Laplacian shrinkage (SLS) method which is a penalized method for variable selection and estimation in big data analysis that uses a combination of the minimax concave penalty (MCP) and Laplacian quadratic as the penalty. The SLS uses the MCP to promote sparsity and Laplacian quadratic penalty to encourage smoothness among coefficients associated with the correlated predictors. An important advantage of the MCP over …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 2, 2015 · pp. 49–55 Read article
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Bioinformatics in Veterinary Science: Unraveling Disease Patterns and Genomic Insights.
Abstract: Bioinformatics has emerged as a powerful tool in veterinary science, enabling the unraveling of disease patterns and providing valuable genomic insights. This article explores the application of bioinformatics in veterinary research, focusing on its impact on disease diagnosis, treatment, and prevention. By integrating large-scale data analysis, computational algorithms, and biological knowledge, bioinformatics has revolutionized our understanding of animal diseases, their genetic basis, and their interaction with the environment. The article …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 12, Issue 1, 2023 · pp. 21–26 Read article
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First Insights into Whole Genome Sequencing of the Mycobacterium tuberculosis Complex: Molecular Diversity and Drug Susceptibility Patterns in Senegal
Abstract: Background: We conducted a bibliographic analysis of the Mycobacterium tuberculosis complex (MTBC) in sub-Saharan Africa, which included the analysis of 8,139 genomic sequences from 34 of the 49 sub-Saharan African countries. Notably, only one complete sequence from Senegal was identified, which had been generated in the United States. Our primary objective was to utilize whole genome sequencing (WGS) to detect resistance in anti-tuberculous strains of the MTBC in Senegal. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–14 Read article
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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Precision in Progress: The Crucial Nexus of Instrumentation and Measurement in Biotechnology Advancements
Abstract: This comprehensive review examines the critical importance of instrumentation and measurement technologies in enabling advances across diverse domains of modern biotechnology. Detailed examples are provided demonstrating how analytical tools empower quantitative biology, drive discoveries, catalyze innovations, and provide solutions to global challenges. The historical evolution of bioanalytical techniques is traced, highlighting milestones that unleashed new capabilities. Current trends and future outlook are explored, underscoring the ongoing pivotal need for precision …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 11–19 Read article
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Cis-9, Trans-11 Conjugated Linoleic Acid in Milk: Natural Sources, Nutritional Advantages, and Potential Health Benefits
Abstract: Cis-9, trans-11 conjugated linoleic acid (CLA) is the most common type of CLA found in milk. It has gained a lot of attention because it may have several health benefits. This bioactive lipid is primarily derived from ruminal biohydrogenation of dietary linoleic acid and endogenous synthesis in the mammary gland via Δ9-desaturase activity. Various dietary and management strategies influence CLA concentrations in milk, including forage composition, lipid supplementation, and grazing …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article