1. Shodhganga@INFLIBNET
  2. Forest Research Institute University
  3. Department of Forest Bioinformatics
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/176058
Title: Computationally identification and analysis of long and short noncoding RNAs using feature selection technique in Catharanthus roseus Linn G Don
Researcher: Vibha
Guide(s): Ginwal, H S
Keywords: Alkaloids
Bioreactors
Catharanthus roseus
Diabetes
University: Forest Research Institute University
Completed Date: 2016
Abstract: None newline
Pagination: 195 p.
URI: http://hdl.handle.net/10603/176058
Appears in Departments:Department of Forest Bioinformatics

Files in This Item:
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01_title.pdfAttached File174.65 kBAdobe PDFView/Open
02_declaration.pdf102.55 kBAdobe PDFView/Open
03_certificate.pdf1.66 MBAdobe PDFView/Open
04_acknowledgement.pdf49.41 kBAdobe PDFView/Open
05_contents.pdf215.51 kBAdobe PDFView/Open
06_list of tables figures.pdf312.73 kBAdobe PDFView/Open
07_abbreviation.pdf45.27 kBAdobe PDFView/Open
08_chapter 1.pdf527.59 kBAdobe PDFView/Open
09_chapter 2.pdf419.86 kBAdobe PDFView/Open
10_chapter 3.pdf407.95 kBAdobe PDFView/Open
11_chapter 4.pdf3.79 MBAdobe PDFView/Open
12_chapter 5.pdf320.81 kBAdobe PDFView/Open
13_chapter 6.pdf244.37 kBAdobe PDFView/Open
14_references.pdf324.56 kBAdobe PDFView/Open
15_annexure.pdf2.05 MBAdobe PDFView/Open
16_publications.pdf540.93 kBAdobe PDFView/Open
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