Biological databases and tools for neurological disorders.

Usman, MB; Ojha, S; Jha, SK; Chellappan, DK; Gupta, G; Singh, SK; Dua, K; Roychoudhury, S; Kumar, N; Khan, FA; Dureja, H; Upadhye, V; Zacconi, F; Prasanna, P; Kesari, KK; Ashraf, GM; Alexiou, A; Jha, NK

Biological databases and tools for neurological disorders.

Usman, MB Ojha, S Jha, SK Chellappan, DK Gupta, G Singh, SK Dua, K

Roychoudhury, S Kumar, N Khan, FA Dureja, H Upadhye, V Zacconi, F Prasanna, P Kesari, KK Ashraf, GM Alexiou, A Jha, NK

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Publisher:: IMR Press
Publication Type:: Journal Article
Citation:: Journal of Integrative Neuroscience, 2022, 21, (1), pp. 1-10
Issue Date:: 2022-01-28

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Field	Value	Language
dc.contributor.author	Usman, MB
dc.contributor.author	Ojha, S
dc.contributor.author	Jha, SK
dc.contributor.author	Chellappan, DK
dc.contributor.author	Gupta, G
dc.contributor.author	Singh, SK
dc.contributor.author	Dua, K https://orcid.org/0000-0002-7507-1159
dc.contributor.author	Roychoudhury, S
dc.contributor.author	Kumar, N
dc.contributor.author	Khan, FA
dc.contributor.author	Dureja, H
dc.contributor.author	Upadhye, V
dc.contributor.author	Zacconi, F
dc.contributor.author	Prasanna, P
dc.contributor.author	Kesari, KK
dc.contributor.author	Ashraf, GM
dc.contributor.author	Alexiou, A
dc.contributor.author	Jha, NK
dc.date.accessioned	2022-10-26T04:35:03Z
dc.date.available	2021-07-13
dc.date.available	2022-10-26T04:35:03Z
dc.date.issued	2022-01-28
dc.identifier.citation	Journal of Integrative Neuroscience, 2022, 21, (1), pp. 1-10
dc.identifier.issn	0219-6352
dc.identifier.issn	1757-448X
dc.identifier.uri	http://hdl.handle.net/10453/162718
dc.description.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.
dc.format	Print
dc.language	eng
dc.publisher	IMR Press
dc.relation.ispartof	Journal of Integrative Neuroscience
dc.relation.isbasedon	10.31083/j.jin2101041
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	09 Engineering, 11 Medical and Health Sciences, 17 Psychology and Cognitive Sciences
dc.subject.classification	Neurology & Neurosurgery
dc.subject.mesh	Computational Biology
dc.subject.mesh	Databases, Factual
dc.subject.mesh	Humans
dc.subject.mesh	Nervous System Diseases
dc.subject.mesh	Computational Biology
dc.subject.mesh	Databases, Factual
dc.subject.mesh	Humans
dc.subject.mesh	Nervous System Diseases
dc.subject.mesh	Humans
dc.subject.mesh	Nervous System Diseases
dc.subject.mesh	Computational Biology
dc.subject.mesh	Databases, Factual
dc.title	Biological databases and tools for neurological disorders.
dc.type	Journal Article
utslib.citation.volume	21
utslib.location.activity	Singapore
utslib.for	09 Engineering
utslib.for	11 Medical and Health Sciences
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Pharmacy
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-10-26T04:35:01Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	21
utslib.citation.issue	1

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/162718