Biological databases and tools for neurological disorders

J Integr Neurosci. 2022 Jan 28;21(1):41. doi: 10.31083/j.jin2101041.

Abstract

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.

Keywords: Cytoscape; Database; NeuroDNet; Neuroinformatics; Neurological disorders (NDs); PubMed; Tools.

Publication types

  • Review

MeSH terms

  • Computational Biology*
  • Databases, Factual*
  • Humans
  • Nervous System Diseases*