| Summary: | 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.
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