L'Obel Certified BioInformatics Summer Project Training in Bangalore, India

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L'Obel Certified BioInformatics Summer Project Training in Bangalore, India — Bangalore

L'Obel Certified BioInformatics Summer Project training in Bangalore, ...

L'Obel Certified BioInformatics Summer Project training in Bangalore, india

L’Obel Certified BioInformatics Summer Project Training in Bangalore, India - http://www.lobelitp.com

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L'Obel’s BioInformatics Summer Project Training course will help you acquire advanced skills for becoming a skilled BioInformatics Specialist.

BIOINFORMATICS @ L'Obel :- is designed to make the participant the most sought after BioInformatics Expert. This makes the participant familiar with the most popular tools and technologies in BioInformatics. On completion of this course the participant can join the industry as a BioInformatics consultant/Specialist.

INTERNSHIP @ L'Obel :- is unique in its BioInformatics Summer Project Training and delivery methodology as it is the first in India to provide the participant Hi-End technology training followed by rigorous Internship in its SOFTWARE DEVELOPMENT CENTER. This gives the participant real time software-development experience through Software Development Life Cycle to making him/her a complete BioInformatics Professional.

BioInformatics Course Syllabus

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P.G Diploma In BioInformatics

Bioinformatics-The Next Generation Boom-An introduction
Bioinformatics is the application of information technology to the management of biological data. It is the backbone for computational tools and databases that support Genomic and related research.

Bioinformatics is defined as an integration of mathematical, statistical and computer methods to analyze biological, biochemical and biophysical data.

Bioinformatics in India

Studies of IDC points out that India will be a potential star in bioscience field in the coming years after considering the factors like bio-diversity, human resources, infrastructure facilities and government’s initiatives. According to IDC, bioscience includes pharma, Bio-IT (bioinformatics), agriculture and R&D. IDC has been reported that the pharmaceutical firms and research institutes in India are looking forward for cost-effective and high-quality research, development, and manufacturing of drugs with more speed.

This sector is the quickest growing field in the country. The vertical growth is because of the linkages between IT and biotechnology, spurred by the human genome project. The promising start-ups are already there in Bangalore, Hyderabad, Pune, Chennai, and delhi. There are over 200 companies functioning in these places. IT majors such as Intel, IBM, Wipro are getting into this segment spurred by the promises in technological developments.

Opportunities

According to Confederation of Indian Industry(CII), the global bioinformatics industry clocked an estimated turnover of $2 billion in 2000 and is estimated to have done $60 billion by 2005. If the industry and government work together it is possible to achieve a five percent global market share by 2006, i.e., a $3 billion opportunity in India.

The past two years has seen many large multinational pharmaceutical companies acquiring other small companies and developing in the biosciences sector. IDC currently forecasts a compound annual growth rate (from 2001-02 to 2004-05) of about 10 percent in the spending on Information Technology by bioscience organizations. Enterprise applications including data warehousing, knowledge management, and storage are being pursued by these companies as priorities.

IDC data reveals that IT spending in biosciences in India has crossed $138 million by 2005, mainly in the areas of system clusters, storage, application software, and services. Also the governments life science focus provides a great deal of the necessary backbone to develop and deliver innovative products and technologies. This focus will also helps to build fast-growing and lucrative enterprises, attract international investment, and create additional high-value employment opportunities. Hence the focus of the IT sector should be on products and services that aligns with bioscience needs. Demonstrating a true understanding of the IT requirements of biotechnology processes is the key for IT suppliers to bridge the chasm that currently exists between IT and Science.

Pre-requisite

Science graduates preferably with specialization in Molecular Biology, Biochemistry, Genetics, Microbiology, Medicinal Chemistry,Medical Sciences, Neuroscience’s, Pharmaceutical Science, Veterinary sciences, Food Sciences, Agricultural Sciences, Biotechnology, physics, Chemistry, Mathematics & Statistics are eligible for the course.

Or B.Es of any discipline

Course Content:
Module I: Introduction to Bioinformatics

Types of biological data
The problems associated with the data handling & Need for computational tools
Fundamental types of bioinformatics analysis
Major branches of bioinformatics
Emerging trends, scope and future challenge

Module II: Computer Fundamentals

Introduction to Computers
Overview
Hardware
Software
Introduction to Operating systems
DOS
Windows
Unix and Linux
Introduction to Networking
Overview
Internet
WWW
IP/TCP
FTP
Linux Commands
Overview
User commands
Application to Bioinformatics

Module III: Option No.1:programming and Scripting Languages

Introduction
Data Types
Statements
Loops
Array
Structure and Functions
Points
Files
Data Structure

Introduction
Class and Objects
Scope and Variables and Inline Functions
Constructors and Destructors
Overloading
Inheritance
Virtual Functions Files
Data structures
Exception Handling
Templates

Java Fundamentals

Introduction
Class and Objective
Packages and Interface
Multi threading
Applets
AWT
JFC and Swings
JDBC

Perl and Bioperl

Creating and Running the PERL programs (Scripts)
Scalars
Arrays
Associated Arrays
BIO-PERL Modules
CGI Scripting Using PERL
File Management

Option 2: Database Management track

VB (as front end designing tool) & Oracle 9i (as back end RDBMS)
VB (Visual Basic)
Introduction to Visual Basic
Understanding the Integrated Development Environment(IDE)
Creating Visual Basic project
Using VB code editor
Data types, variables and constant in VB
Using operators
Control Structures- IF….Then, Select Case, DO….LOOP, FOR……NEXT Working With Forms
Working with standard controls (Button, Label, Text Box, Picture, Frame, Check Box, List Box etc…..)
Properties and methods of Objects in VB
Building a Menu in VB
Error trapping
Working with Data controls
ADO database programming with connection to oracle
Manipulating the Data from VB forms
Oracle 9i (RDBMS)
Introduction to DBMS and RDBMS
Writing a basic SQL statement
Restricting and Sorting the data
Single row function
Displaying data from multiple function
Using group function
Writing sub queries
Manipulating Data
Creating and Managing tables
Including constrains
Crating Views
Other Database objects
Controlling user access
SQL Workshop
Using Set Operations
Oracle 9i Date time function
Enhancement to the GROUP BY clause
Advance sub queries

Module IV

Biological sequence databases & sequencing methodologies
Introduction & requirement for Biological databases
Basic classification – Primary, Secondary & Aggregated databases
DNA sequencing – Principles & methodologies
Automated sequencing machines
Nucleotide Sequence databases
Protein sequencing – Principles & methodologies
Protein sequence databases
Concept of secondary databases – PROSITE & other secondary databases
Protein Structure databases – Detailed account of PDB
Secondary structure databases
Associated Software & other online resources:
NCBI Server, Entrez, GenBank, EMBL & DDBJ, SWISSPROT, PIR & UNIPROT, Scan PROSITE, PDB, MMDB & CDD

Module V

Sequence analysis & its applications
Basic principles of Sequence analysis
Sequence alignment – Pairwise & Multiple sequence alignments
Global & Local alignment algorithms: Needleman & Wunsch, Smith waterman
MSA – Progressive Alignment
Sequence similarity searches
FASTA & BLAST – Algorithms & Applications
Practical applications of sequence analysis
Phylogenetic analysis – Basic steps involved
Predictive methods using nucleotide sequences
Gene prediction – Principles & methods
Predicting other regions of interest