STM Journals Peer-reviewed research from Consortium e-Learning Network

4 publications

  • Published Subscription Review Article

    Single-Cell Genomics and its Impact on Understanding Cellular Heterogeneity

    By Aditi Arvi

    Abstract: Single-cell genomics has transformed how we study the differences between individual cells, helping scientists uncover the detailed variety within tissues that traditional methods could not reveal. Traditional methods, such as RNA sequencing, average gene expression across many cells, thereby missing subtle yet important cellular variations. Single-cell technologies, such as single-cell RNA sequencing (scRNA-seq), DNA sequencing, and epigenomics, allow researchers to study individual cells in extraordinary detail like never before. This …

    Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 1–5 Read article

  • Published Subscription Review Article

    Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease

    By Aditi Arvi

    Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …

    Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article

  • Published Subscription Review Article

    Recent Developments in Structural Genomics: Uncovering Cellular Functions

    By Aditi Arvi

    Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …

    Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article

  • Published Subscription Original Research

    Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology

    By Aditi Arvi

    Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …

    Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article

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