Structural Bioinformatics and Big Data Analytics: A mini-review

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9140

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DC Field	Value	Language
dc.contributor.author	Srivastava, Pulkit Anupam	-
dc.contributor.author	Kalra, Siddhant	-
dc.contributor.author	Yennamalli, Ragothaman M.	-
dc.date.accessioned	2023-01-13T04:23:17Z	-
dc.date.available	2023-01-13T04:23:17Z	-
dc.date.issued	2017	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9140	-
dc.description.abstract	Structural Biology and Structural Bioinformatics are two complementary areas that deal with three dimensional structures of biomolecules. With the advent of high-throughput techniques and automation of identifying structures there is a barrage of data generated currently, which fall under the area of Big Data. In this review, we present examples and current approach to handle massive volume of structural data and some potential applications of Big Data from Structural Bioinformatics perspective.	en_US
dc.language.iso	en	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Structural Bioinformatics	en_US
dc.subject	Hadoop	en_US
dc.subject	MMTF	en_US
dc.title	Structural Bioinformatics and Big Data Analytics: A mini-review	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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