Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/440718
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-10T08:15:43Z | - |
dc.date.available | 2023-01-10T08:15:43Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/440718 | - |
dc.description.abstract | newline | |
dc.format.extent | All Pages | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | A binary fingerprint based technology platform for genotype phenotype association towards personalized medicine | |
dc.title.alternative | A binary fingerprint based technology platform for genotype-phenotype association towards personalized medicine | |
dc.creator.researcher | Rakesh Kumar | |
dc.subject.keyword | Biology | |
dc.subject.keyword | Biology and Biochemistry | |
dc.subject.keyword | Life Sciences | |
dc.description.note | ||
dc.contributor.guide | Anshu Bhardwaj | |
dc.publisher.place | Ghaziabad | |
dc.publisher.university | Academy of Scientific and Innovative Research (AcSIR) | |
dc.publisher.institution | Biological Sciences (CSIR-IMTECH) | |
dc.date.registered | 2015 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Biological Sciences (CSIR-IMTECH) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 112.42 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 843.29 kB | Adobe PDF | View/Open | |
03_content.pdf | 87.16 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 80.67 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 413.57 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 2.01 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 845.77 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.51 MB | Adobe PDF | View/Open | |
09_annexure.pdf | 538.95 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 191.25 kB | Adobe PDF | View/Open |
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