L'Obel Certified PG Diploma in BioInformatics Training in Bangalore

Certificate Program Provided by L'Obel IT-Palaestra L'Obel Certified BioInformatics Training in Bangalore, India La Obel Certified BioInformatics Training in Bangalore, India - http://www. lobelitp. com ------------------------------------------------------------------------------------------ L'Obela s BioInformatics 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 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 --------------------------------------------------- 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 governmenta 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, Neurosciencea 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 a Types of biological data a The problems associated with the data handling & Need for computational tools a Fundamental types of bioinformatics analysis a Major branches of bioinformatics a Emerging trends, scope and future challenge Module II: Computer Fundamentals a Introduction to Computers a Overview a Hardware a Software a Introduction to Operating Systems a DOS a Windows a Unix and Linux a Introduction to Networking a Overview a Internet a WWW a IP/ TCP a FTP a Linux Commands a Overview a User commands a Application to Bioinformatics Module III: Option No. 1: Programming and Scripting Languages a Introduction a Data Types a Statements a Loops a Array a Structure and Functions a Points a Files a Data Structure C++ a Introduction a Class and Objects a Scope and Variables and Inline Functions a Constructors and Destructors a Overloading a Inheritance a Virtual Functions Files a Data structures a Exception Handling a Templates Java Fundamentals a Introduction a Class and Objective a Packages and Interface a Multi threading a Applets a AWT a JFC and Swings a JDBC Perl and Bioperl a Creating and Running the PERL Programs (Scripts) a Scalars a Arrays a Associated Arrays a BIO-PERL Modules a CGI Scripting Using PERL a File Management Option 2: Database Management track a VB (as front end designing tool) & Oracle 9i (as back end RDBMS) a VB (Visual Basic) a Introduction to Visual Basic a Understanding the Integrated Development Environment(IDE) a Creating Visual Basic project a Using VB code editor a Data types, variables and constant in VB a Using operators a Control Structures- IFa .Then, Select Case, DOa .LOOP, FORa a NEXT Working With Forms a Working with standard controls (Button, Label, Text Box, Picture, Frame, Check Box, List Box etca ..) a Properties and methods of Objects in VB a Building a Menu in VB a Error trapping a Working with Data controls a ADO database programming with connection to oracle a Manipulating the Data from VB forms a Oracle 9i (RDBMS) a Introduction to DBMS and RDBMS a Writing a basic SQL statement a Restricting and Sorting the data a Single row function a Displaying data from multiple function a Using group function a Writing sub queries a Manipulating Data a Creating and Managing tables a Including constrains a Crating Views a Other Database objects a Controlling user access a SQL Workshop a Using Set Operations a Oracle 9i Date time function a Enhancement to the GROUP BY clause a Advance sub queries Module IV a Biological sequence databases & sequencing methodologies a Introduction & requirement for Biological databases a Basic classification a Primary, Secondary & Aggregated databases a DNA sequencing a Principles & methodologies a Automated sequencing machines a Nucleotide Sequence databases a Protein sequencing a Principles & methodologies a Protein sequence databases a Concept of secondary databases a PROSITE & other secondary databases a Protein Structure databases a Detailed account of PDB a Secondary structure databases a Associated Software & other online resources: a NCBI Server, Entrez, GenBank, EMBL & DDBJ, SWISSPROT, PIR & UNIPROT, Scan PROSITE, PDB, MMDB & CDD Module V a Sequence analysis & its applications a Basic principles of Sequence analysis a Sequence alignment a Pairwise & Multiple sequence alignments a Global & Local alignment algorithms: Needleman & Wunsch, Smith waterman a MSA a Progressive Alignment a Sequence similarity searches a FASTA & BLAST a Algorithms & Applications a Practical applications of sequence analysis a Phylogenetic analysis a Basic steps involved a Predictive methods using nucleotide sequences a Gene prediction a Principles & methods a Predicting other regions of interest Associated Software & other online resources a Emboss Align, Clustal a W, MultAlign, Sequence retrieval from databases a ENTREZ & SRS a Similarity searching using BLAST & Fasta a Restriction analysis a NebCutter, RestrictionMapper, Webcutter, etc a Primer design- Primer3, OMEGA, etc a Tools in Phylogenetic analysis a PHYLIP, PAUP, McClade Module VI: Structure analysis a Overview of Structure determination methods a Structural complexity associated with proteins a Structure visualization methods a Rasmol, Pymol, SWISSPDB viewer, etc a Structure alignment methods a VAST, SSAP, DALI a Structure superimposition methods & Associated tools a Sequence to structure dogma a Predicting physical properties of proteins using sequence data a Structure prediction methods a Comparative/ homology modeling a ab initio methods a Fold recognition a Applications of HMMs, Neural networking & Threading methods Associated Software & other online resources a Structure visualization tools a Rasmol, Pymol, SWISSPDB viewer, etc a Structure alignment tools a VAST, SSAP, DALI a Secondary structure prediction tools: NNPREDICT, PredictProtein, SOPMA, etc a Quaternary structure & other prediction tools: WHAT-IF, LOOK, SWISS-MODEL, 3Dee, FSSP, PHD, PHDhtm, TMpred, etc Module VII: Structural & Functional Genomics a Introduction a The science of 'omics' a Genome sequencing strategies a Clone-contig & shotgun approaches a Genome projects: Human genome project a Detailed account a Microbial genome projects a E. coli, Haemophilus, etc. a Plant genome projects a Arabidopsis thaliana, Rice genome project, etc. a Other genome projects a Worm genome project, Mouse genome project, etc. a Post genomic era a Functional genomics a Comparative genomics a Whole genome comparisons & associated technologies a Principles, construction & applications of Microarray technology including GEO database & problems associated with microarray image analysis a Expressed Sequence Tags (ESTs) a Detailed account, dbEST, Applications a Single nucleotide polymorphisms (SNPs) - Detailed account, dbSNP, Applications a Pharmacogenomics a Transcriptomics a The link between the genomics and proteomics Associated Software & other online resources a Genomic databases (Entrez genome, Flybase, etc.), dbEST, dbSNP, GEO Module VIII: Proteomics, Metabolomics, Interactomics & Systems Biology a Introduction a Methods of protein sequencing a Mass spectrometry - Methods and applications in proteomics including peptide mass fingerprinting a Analysis of proteome data a Associated tools a Protein chips a Metabolomics a Introduction, principles, applications & databases associated with it etc a Interactomics a Interaction studies a Systems Biology a holistic approach to tackle biological problems Associated Software & other online resources a KEGG, BRENDA, PFBP, WIT, BIND, COMPEC, DIP, FIMM, etc Module IX: Principles of Molecular modeling, Protein engineering, in silico drug designing & Informatics a Introduction to Molecular modeling a Construction of initial model a Refining the model a Manipulation of structures a Deriving pharmacophores a Visualization methods & tools a Protein engineering: Introduction a Protein design principles a Comparative & ab intio methods a Manipulation at genic level a Role of computational tools a Iterative cycle of protein engineering a Examples of engineered proteins a In silico drug designing & Pharmacoinformatics: Introduction a Rational drug designing procedure & CADD a Drug discovery & development cycle a Target discovery & characterization a Chemical space & High Throughput Screening procedures a Identification of Candidate drugs a Molecular Docking studies a Principles & applications a Clinical trials & approval a Example drugs Associated Software & other online resources a Chem-X, CombiLibMaker, Dock, Autodock, CombiDock, LIGIN, FTDock, GRAMM, FlexX, Module IX: a Project work Course Duration ------------------------ The duration of the BioInformatics course is 180 Days. Contact us --------------- for more information about this BioInformatics course Visit: http://www. lobelitp. com Write to: info@lobelitp. com Walk into our IT Training centers located in Bangalore.

L'Obel Certified PG Diploma in BioInformatics Training in Bangalore L'Obel Certified BioInformatics Training in Bangalore, India



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

L'Obel s BioInformatics 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 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
---------------------------------------------------

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
C
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
Associated Software & other online resources
Emboss Align, Clustal W, MultAlign, Sequence retrieval from databases ENTREZ & SRS
Similarity searching using BLAST & Fasta
Restriction analysis NebCutter, RestrictionMapper, Webcutter, etc
Primer design- Primer3, OMEGA, etc
Tools in Phylogenetic analysis PHYLIP, PAUP, McClade
Module VI: Structure analysis
Overview of Structure determination methods
Structural complexity associated with proteins
Structure visualization methods Rasmol, Pymol, SWISSPDB viewer, etc
Structure alignment methods VAST, SSAP, DALI
Structure superimposition methods & Associated tools
Sequence to structure dogma
Predicting physical properties of proteins using sequence data
Structure prediction methods
Comparative/ homology modeling
ab initio methods
Fold recognition
Applications of HMMs, Neural networking & Threading methods
Associated Software & other online resources
Structure visualization tools Rasmol, Pymol, SWISSPDB viewer, etc
Structure alignment tools VAST, SSAP, DALI
Secondary structure prediction tools: NNPREDICT, PredictProtein, SOPMA, etc
Quaternary structure & other prediction tools: WHAT-IF, LOOK, SWISS-MODEL, 3Dee, FSSP, PHD, PHDhtm, TMpred, etc
Module VII: Structural & Functional Genomics
Introduction The science of 'omics'
Genome sequencing strategies Clone-contig & shotgun approaches
Genome projects: Human genome project Detailed account
Microbial genome projects E. coli, Haemophilus, etc.
Plant genome projects Arabidopsis thaliana, Rice genome project, etc.
Other genome projects Worm genome project, Mouse genome project, etc.

Post genomic era Functional genomics
Comparative genomics Whole genome comparisons & associated technologies
Principles, construction & applications of Microarray technology including GEO database & problems associated with microarray image analysis
Expressed Sequence Tags (ESTs) Detailed account, dbEST, Applications
Single nucleotide polymorphisms (SNPs) - Detailed account, dbSNP, Applications
Pharmacogenomics
Transcriptomics The link between the genomics and proteomics
Associated Software & other online resources
Genomic databases (Entrez genome, Flybase, etc.), dbEST, dbSNP, GEO
Module VIII: Proteomics, Metabolomics, Interactomics & Systems Biology
Introduction
Methods of protein sequencing
Mass spectrometry - Methods and applications in proteomics including peptide mass fingerprinting
Analysis of proteome data
Associated tools
Protein chips
Metabolomics Introduction, principles, applications & databases associated with it etc
Interactomics Interaction studies
Systems Biology holistic approach to tackle biological problems
Associated Software & other online resources
KEGG, BRENDA, PFBP, WIT, BIND, COMPEC, DIP, FIMM, etc
Module IX: Principles of Molecular modeling, Protein engineering, in silico drug designing & Informatics
Introduction to Molecular modeling
Construction of initial model
Refining the model
Manipulation of structures
Deriving pharmacophores
Visualization methods & tools
Protein engineering: Introduction
Protein design principles
Comparative & ab intio methods
Manipulation at genic level
Role of computational tools
Iterative cycle of protein engineering
Examples of engineered proteins
In silico drug designing & Pharmacoinformatics: Introduction
Rational drug designing procedure & CADD
Drug discovery & development cycle
Target discovery & characterization
Chemical space & High Throughput Screening procedures
Identification of Candidate drugs
Molecular Docking studies Principles & applications
Clinical trials & approval
Example drugs
Associated Software & other online resources
Chem-X, CombiLibMaker, Dock, Autodock, CombiDock, LIGIN, FTDock, GRAMM, FlexX,
Module IX:
Project work


Course Duration
------------------------

The duration of the BioInformatics course is 180 Days.

Contact us
---------------

for more information about this BioInformatics course
Visit: http://www. lobelitp. com
Write to: info lobelitp. com
Walk into our IT Training centers located in Bangalore.

About The Training Provider: L'Obel IT-Palaestra