Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/512690
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-09-19T08:54:51Z | - |
dc.date.available | 2023-09-19T08:54:51Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/512690 | - |
dc.description.abstract | Pre-MicroRNAs are the hairpin loops from which microRNAs are produced that have been found to negatively regulate gene expression in several organisms. In insects, microRNAs participate in several biological processes including metamorphosis, reproduction, immune response, etc. Numerous tools have been designed in recent years to predict novel pre-microRNA using binary machine learning classifiers where prediction models are trained with true and pseudo pre-microRNA hairpin loops. Currently, there are no existing tool that is exclusively designed for insect pre-microRNA detection. | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | self | |
dc.title | In silico prediction of precursor microRNA in insects | |
dc.title.alternative | ||
dc.creator.researcher | Nath, Adhiraj | |
dc.subject.keyword | Biotechnology and Applied Microbiology | |
dc.subject.keyword | Life Sciences | |
dc.subject.keyword | Microbiology | |
dc.description.note | ||
dc.contributor.guide | Bora, Utpal | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | DEPARTMENT OF BIOSCIENCES AND BIOENGINEERING | |
dc.date.registered | 2016 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | DEPARTMENT OF BIOSCIENCES AND BIOENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 7.87 MB | Adobe PDF | View/Open |
04_abstract.pdf | 243.76 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 353.95 kB | Adobe PDF | View/Open |
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