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A Novel Approach to Identify Functional Modules in Human Disease.

By:

Aiswarya Radhakrishnan

Material type: Text

Text

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-7 AIS-N (Browse shelf(Opens below))	Available	MSC DISSERTATION		DCBD-7

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Previous	D-67 NAJ-M Micro RNA Predition & Functional Characterization of Andrographics Paniculata from NGS Transcriptome Data	D-68 PRA-T Transcriptome Analysis of Tomato and Cowpea roots to understand Plant reponses to mematode infection	D-69 ROS-T Identification & characterization of conserved micro RNAs & their targets from transcriptome	D-7 AIS-N A Novel Approach to Identify Functional Modules in Human Disease.	D-70 VAI-E Exome Analysis to detect Single Nucletide Variants [SNVS] Among Solanium Lycipersicum Leaf Curl Mutants	D-71 AKH-A Android Application for Colorimetry Experiments	D-72 GEE-S Statistical Analysis of Phase 2 Clinical Trial in Plaque Psoriasis	Next

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