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71 articles for “Genomic Analysis”
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Application of Computer Vision Algorithms in the Description of Mitotic Chromosome Metaphase Spread
Abstract: Mitotic chromosomes offer a unique opportunity to observe the nuclear genome by microscope, allowing analysis of its components individually. The karyotype is the visual description of the complete set of chromosomes of a typical somatic cell of a eukaryotic organism. These unique visual features that describe the karyotype are not easily distinguished in photographed microscopic images, most especially in laboratories located in the third world countries that cannot afford to …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 1–5 Read article
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COVID-19: Are We Prepared for the Pandemic or Starting Now?
Abstract: SARS-CoV-2 has impregnated all the sections of the world. It is our duty to prepare ourselves to this pandemic. Several attempts are being made to identify the drugs to combat COVID-19. The present paper reviewed the latest developments in COVID-19 research. It also emphasized the role of bioinformatics tools whilst identifying the candidate drugs. Some of the information pertaining to the vaccines available was discussed. The role of open-source software …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 11, Issue 2, 2021 · pp. 1–6 Read article
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Comparative Genomics of Heat Shock Protein in Pathogenic Bacteria
Abstract: Genome comparison has recently become a common research topic in computer science. The development of computer-assisted mathematics (using products such as Mathematica or Matlab) has helped engineers, mathematicians, and computer scientists to start operating in this domain, and a public collection of case studies and demonstrations is growing, ranging from whole genome comparisons to gene expression analysis. This has increased the introduction of different ideas, including concepts from systems and …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 1, Issue 2, 2014 · pp. 19–34 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Scope of Single cell Genomics: Bioinformatics Review
Abstract: To study the Expression profile of genes and its regulations in single cell resolutions is one of the major factor to improvise the current therapeutic options. Bulk RNA sequencing has been discussed by many groups before, better understanding over analysis methods with standard best practice guidelines were demonstrated extensively in past 2 decades. The single cell resolution of RNA expression data analysis has many varieties of software in open source …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 1, 2022 · pp. 43–51 Read article
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Phylogenomic Analysis of Human Multigene Families Using Computational Approach
Abstract: Evolution leads to major morphological transformations and anatomical complexity achieved by higher vertebrates. The phylogenomic analysis of human multigene families (ERBB, HCK, VAMP) was conducted to check the evolutionary history and functional significance. The colossal amount of diversified protein dataset for a wide variety of vertebrates and invertebrates was used to derive the phylogeny of highly significant and functionally diverse gene families. Phylogenetic analysis reveals the mode of evolution and …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Genomic Characterization of Emerging Arboviruses in Rural India
Abstract: Arboviruses (arthropod-borne viruses) represent a rapidly evolving group of pathogens responsible for significant morbidity and mortality, particularly in tropical and subtropical regions. Rural India, characterized by dense vector populations, changing ecological patterns, and limited healthcare infrastructure, has become a hotspot for the emergence and re-emergence of arboviral diseases such as dengue, chikungunya, Japanese encephalitis, and more recently, Zika virus infections. Advances in genomic technologies, including next-generation sequencing (NGS), metagenomics, and …
Published in International Journal of Pathogens · Vol. 3, Issue 2, 2026 · pp. 1–8 Read article
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Deciphering Th-Related Gene Interactions in Chronic Spontaneous Urticaria: Bioinformatics Insights and Drug Affinity Exploration
Abstract: Objective: There has been a great deal of interest in how inflammatory dermatosis and The cell interact, but the etiopathogenesis of chronic spontaneous urticaria (CSU) is still inadequately comprehended. Through bioinformatics techniques, the purpose of this work is to elucdate the molecular mechanism underlying Th-related genes in CSU and seeks to find the highest affinity drug. Methods: The CSU RNA expression profiling dataset provided the basis for the investigation. The …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 1–15 Read article
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Glitches in the Implementation of Bioinformatics in Medical Settings: A Comprehensive Review
Abstract: Bioinformatics is a dynamic field at the intersection of biology, computer science, and information technology, offering new possibilities in medicine by enabling a deeper understanding of genomics, molecular biology, and personalized treatment approaches. Its integration into healthcare could greatly enhance diagnostics, enable tailored treatments for individuals, and facilitate the analysis of large biological datasets. However, despite its potential, several barriers impede its successful implementation in clinical settings. These include technical …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Differential Gene Expression Analysis of Human Atrial Fibroblasts Reveals Dysregulation of RNA Metabolism and Translational Machinery in Atrial Fibrillation
Abstract: Atrial fibrillation (AF) is a complex cardiac arrhythmia characterized by extensive structural remodeling and the activation of atrial fibroblasts, which drive the progression of fibrosis. To identify the underlying transcriptomic alterations, we analyzed six human atrial fibroblast RNA-Seq datasets (three control and three AF) retrieved from the Sequence Read Archive. After performing rigorous quality control and adapter trimming, we aligned the reads to the GRCh38 human reference genome using a …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 15–25 Read article
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Bioinformatics and Medicine: Bringing Data to the Bedside
Abstract: From being an empirical and experience-based practice, modern medicine has transformed into a codified and research-based discipline, known as Evidence-Based Medicine (EBM). Though EBM has greatly enhanced the quality of medical practice through population-scale clinical trials, it still has limitations in managing biologically diverse patient populations, especially when dealing with clinical outliers who respond in an unusual way to standard treatments. With the rapid progress in genomics, proteomics, and high-throughput …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 41–46 Read article
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ADVANCEMENTS AND CHALLENGES OF MODERN BREEDING OVER CONVENTIONAL BREEDING
Abstract: Plant breeding dates back thousands of years, when people first deliberately bred plants based on visually pleasing characteristics. The domestication of wild plants aided this process, resulting in the evolution of numerous breeding strategies over time. Conventional breeding, which is distinguished by selective breeding based on superior performance, used procedures such as pure-line selections, mass selection, backcross breeding, recurrent selection, and hybridization. While effective, classical breeding procedures were time-consuming and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–5 Read article
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Loop-Mediated Isothermal Amplification Coupled Lateral Flow Assay to Detect Nucleic Acids in Clinical Samples for Brucella Species at Point of Care and Resource-Limited
Abstract: Brucellosis is a most common and neglected zoonotic disease caused by Brucella species. Brucellosis is a major public health challenge as both animals and humans are affected. Most of the Brucella diagnostic tools are focused around serological assays though these assays cannot detect active pathogenesis. Loop-mediated isothermal amplification (LAMP) coupled with lateral flow assay (LFA) was developed in the present study to detect IS711 gene of Brucella species in the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 10, Issue 2, 2020 · pp. 35–42 Read article
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Computational Biology with Deep Learning
Abstract: Technological advances in genomics and imaging have resulted in an explosion of molecular and cellular profiling data from large numbers of samples. Conventional analytic methodologies are being tested by the increasing expansion of biological data dimension and acquisition rate. Modern machine learning technologies, such as deep learning, promise to make accurate predictions and identify underlying structure in very huge data sets. In this study, we look at how regulatory genomics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 5–8 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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DNA Barcoding and Sequence Analysis of Annona reticulata Linn.
Abstract: AbstractDNA barcoding is the use of short DNA sequences (~650 bp) of the standard segment of genome for large scale species identification. The Consortium for the Barcode of Life (CBOL) plant-working group recommended 2-locus combination of rbcL and matK as the standard plant barcode. These two regions of chloroplast DNA were chosen due to efficient recovery of quality sequences and high levels of species discrimination. In this study, seven samples …
Published in Research & Reviews : Journal of Herbal Science · Vol. 7, Issue 3, 2018 · pp. 24–32 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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An Overview on Bioinformatics and its Application
Abstract: Bioinformatics has become an important part of many areas of biology. The term ‘Bioinformatics’ was coined by Paulien Hogeweg in 1979. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics and genomics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 3, Issue 2, 2016 · pp. 8–14 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article