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Prediction of novel therapeutie targets in leptospira using computational methods

By:

Arya V.V

Material type: Text

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TextPublication details: DCB

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Notes	Date due	Barcode
PG Dissertation	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	Thesis	D-36 ARY-P (Browse shelf(Opens below))	Available	MSC DISSERTATION		DCBD-36

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Previous	D-33 NEE-M Modeling of gene regulatory network from gene expression data	D-34 SIL-P PHZ pred-A Toolfor Prediction of Phenazine Synthesizing Gene in Pseudomonas SPP. Using Machine Learning Approaches	D-35 VID-I Identification of Novel Inhibitors for the treatment of Melanoma using Computational Methods	D-36 ARY-P Prediction of novel therapeutie targets in leptospira using computational methods	D-37 AKH-D Development of target based filters for computer aided drug design	D-38 ARU-S Screening, Isolation and density polyethylene (LDPE) degrading pseudomonas citromellolis strain EMBS029 using 16srRNA gene sequencing- An in vitro to silico approach	D-39 GAY-T “Transcriptional and post transcriptional regulation of the central metabolic pathway in E. coli-quantifying the expression level using SSGES”	Next

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