Department of Life Science, School of Basic Science & Research (SBSR), Sharda University, Greater Noida, 201310 Uttar Pradesh, India.
Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, 17666 Al Ain, United Arab Emirates.
J Integr Neurosci. 2022 Jan 28;21(1):41. doi: 10.31083/j.jin2101041.
Computational approach to study of neuronal impairment is rapidly evolving, as experiments and intuition alone could not explain the complexity of brain system. The increase in an overwhelming amount of new data from both theory and computational modeling necessitate the development of databases and tools for analysis, visualization, and interpretation of neuroscience data. To ensure the sustainability of this development, consistent update and training of young professionals are imperative. For this purpose, relevant articles, chapters, and modules are essential to keep abreast of developments. Therefore, this article seeks to outline the biological databases and analytical tools along with their applications. It's envisaged that knowledge along this line would be a "training recipe" for young talents and guide for professionals and researchers in neuroscience.
计算方法在研究神经元损伤方面的发展十分迅速，因为仅凭实验和直觉无法解释大脑系统的复杂性。理论和计算模型产生的大量新数据需要开发数据库和工具，以用于分析、可视化和解释神经科学数据。为了确保这种发展的可持续性，必须持续更新和培训年轻的专业人员。为此，相关的文章、章节和模块对于跟上发展至关重要。因此，本文旨在概述生物数据库和分析工具及其应用。可以预见，这条知识线上的知识将成为年轻人才的“培训方案”，并为神经科学领域的专业人员和研究人员提供指导。
