MICRO ARRAY & DATA MINING
Course Length : Regular - 90 Days, Fastrack - 60 Days
Course Start : For Details Call +91 9247716307,
Limited seats per batch
Course Location : Hyderabad, India
Contact Us : Call +91 9247716307
 

Syllabus

 
Data Mining
   Biological data storage,
   Retrieval, and modeling;
   Data mining literature for biology;
   Distributed and parallel biological databases;
   Visualization tools for biological data analysis;
   Statistical methods for gene expression analysis;
   Molecular sequence analysis;
   Protein-protein interaction analysis;
   Identification and classification of genes and regulatory elements;
   Biological information integration, interoperability and bio-ontology.

Microarray :
MODULE I
Analysis Pipeline Overview
R Coding Basics
BioConductor

MODULE II
Pre-Processing Matters
Assessing Pre-Processing Results
Univariate Statistical Approaches
Probe Set Remapping

MODULE III
Data Organization Storage
Two-Level Experimental Designs
Con1nuous Variables
Survival Analysis
Meta-Analysis
Machine Learning

MODULE IV
Optimal Pre-processing methods
Code-Overview

 

Overview

 
Microarrays have emerged as the premier tool for studying gene expression on a genomic scale.DNA microarray technology (also known as DNA arrays, DNA chips or biochips) represents one of the latest breakthroughs and indeed major achievements in experimental molecular biology.

Here, our aim is to give a brief overview of cDNA microarray technology, particularly explaining (Watson., et al. 1998) what is a cDNA microarray technology (Sinclair., 1999) the various types/platforms of cDNA microarray technology, highlighting both their advantages and disadvantages as well as how they are fabricated or manufactured.
 

Eligibility

 
  • Ph.Ds in any science discipline
  • Postgraduates with specialization in any of the areas of molecular biology, genetics, microbiology, structural biology, genetics, chemistry, physics, statistics and biotechnology.
  • B. Pharm, M. Pharm, MBBS, MD, BE/B. Tech, ME/M.Tech etc.
  • Final year students of the above courses as a part of fulfilling their project work.
  • Students looking for Research opportunities abroad.
  • Research Scholars in any areas of life & chemical sciences.
  • Bachelors in Biotechnology, Microbiology, Bioinformatics, Life sciences, Biochemistry, Zoology, Botany and related discipline.
 

Course Goal


The goal of course is to provide procedures and analysis workflows for the analysis of microarray datasets. It provides an overview of the analysis of microarray data ranging in size from one to two samples to hundreds of samples.
 
 
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