Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10293
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dc.contributor.authorPallavi-
dc.contributor.authorMittal, Shikha [Guided by]-
dc.date.accessioned2023-10-30T08:57:01Z-
dc.date.available2023-10-30T08:57:01Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10293-
dc.descriptionEnrollment No. 217813en_US
dc.description.abstractNearly all fields of biotechnology have been affected by Next-generation sequencing (NGS), which has emerged as a major method in the field of genomics. Thanks to its exceptional throughput, flexibility, and fast data collection, it enables researchers and clinicians to analyze biological systems at a level and precision that was previously unimaginable. By using RNA sequencing analysis, NGS has contributed to identifying Differentially expressed genes (DEGs) in over-expressing KMT2B heLa cells and control heLa cells. We found 72,157 total DEG’s, out of them 4,005 are significant DEG’s. From total significant DEG’s 1,747 are upregulated genes and 2,257 are downregulated DEG’s.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectMicro RNAen_US
dc.subjectMethyltransferaseen_US
dc.subjectNext-generation sequencingen_US
dc.subjectRNA sequencingen_US
dc.titleRNA-Seq Analysis of HeLa cells Over-expressing Histone Methyltransferase KMT2Ben_US
dc.typeDissertationen_US
Appears in Collections:Dissertations (M.Sc.)

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