Predicting the  inessentiality of multiple gene deletions using computational methods on  high throughput data

dc.contributor.guide	Debasis Dash
dc.coverage.spatial
dc.creator.researcher	Abhilash Gangadharan
dc.date.accessioned	2022-06-23T08:41:37Z
dc.date.available	2022-06-23T08:41:37Z
dc.date.awarded	2020
dc.date.completed	2020
dc.date.registered	2013
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	All Pages
dc.identifier.uri	http://hdl.handle.net/10603/388071
dc.language	English
dc.publisher.institution	Biological Sciences (CSIR-IGIB)
dc.publisher.place	Ghaziabad
dc.publisher.university	Academy of Scientific and Innovative Research (AcSIR)
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Biochemistry and Molecular Biology
dc.subject.keyword	Biology and Biochemistry
dc.subject.keyword	Life Sciences
dc.title	Predicting the inessentiality of multiple gene deletions using computational methods on high throughput data
dc.title.alternative
dc.type.degree	Ph.D.