Content: Introduction of Bioinformatics, Online Overview on Microarray Wet Lab Techniques, Disease Identification, Introductiton and Overview of R languages, R Ecosystem, Instalation and Setup, Data Types, Data structures, Data Handling, Function, Basics Statistics in R, Graphics in R, Introduction of Bioconducor,Packages, Preprocessing of microarry data, Quality control analysis, Differential gene expression and filtering, Clustering & Visualization.

Content: Getting Started Using SAS Software, Introduction to the SAS System, Getting Your Data into Shape, Introduction to DATA Step Processing, Starting with Raw Data: The Basics,Starting with Raw Data: Beyond the Basics, Starting with SAS Data Sets, Basic Programming, Working with Numeric Variables,Working with Character Variables, Combining SAS Data Sets, Concatenating SAS Data Sets, Merging SAS Data Sets,Creating Summary Tables,Using Basic Statistical Procedures, Enhancing Your Output with ODS, Designing Your Own Output.

Content: Introduction of Bioinformatics, DBMS, Biological Database (NCBI-Genebank, DDBJ, Swissprot-EMBL), File Format, Search Engines and Research Articles Databases, Pairwise and Multiple Sequence Alignment, Phylogenetic Analysis, Sequence Analysis (Blast, Fasta, ClustalW), Secondary Structure Prediction, Biological Visualization Tools and Introduction on Bioprogramming.

Content: Introduction of Bioinformatics, Pairwise and Multiple Sequence Alignment, Sequence Analysis (Blast, Fasta, ClustalW), Distance Based and Character Based Programs, Comparative Phylogenetic Analysis using MEGA and Phylip.

Content: Introduction of Bioinformatics, Perl & Bioperl, Bio-Python, Bio-Java, HTML, PHP & MySQL and Web Designing, Animation & Photo Editing Tools.

Content: Introduction of Bioinformatics, Nucleotide Sequence Databases (EMBL, Genebank and DDBJ etc.), Protein Sequence Databases (Swissprot, TrEMBL and PIR etc.), Structural Databases (Cath, SCOP, PDB and MMDB etc.) and different biological databases and softwares.

Content: Introduction of Bioinformatics, Introduction on Computer Aided Drog Designing, QSAR Studies, Lipinski Rule of Five, Toxicity Prediction and ADME Properties. Docking Studies with different softwares (e.g. Arguslab, Hex, Autodock Vina etc.)

Content:General Overview of Intellectual Property, Industrial Property: Patents, Designs, Plant Varieties, Industrial Property: Trademarks, Geographical Indications, Trade Secrets and Unfair Competition, Copyrights and Related Rights (International), Protection of Industrial Property at the National Level, Protection of Copyright and Related Rights at the National Level, Enforcement of Intellectual Property Rights, Contemporary Intellectual Property Issues, IPR - Key Links, IPR - Law Links, How to Design IPR Content - in the Law School and beyond, Why Include IPR – Academic Responses, Why Include IPR – Research and Surveys, Entrepreneurship, Engineering and IPR

Content: Introduction of Bioinformatics, Introduction to Drug Designing, Disease Identification, Responsible Gene Ontology, Coding Protein Identification, Protein Structure Finding, Active Site Prediction, Chemical and Drug Database, Chemo-informatics, Docking, Toxicity Prediction with Lipinski Rule of Five, Relevant Software and Tools and Practical Sessions.

Content: Introduction of Bioinformatics, Literature Mining, Protein Name identification, Target Amino Acid Primary Sequence Identification, Sequence Analysis (Blast, Fasta), Secondary Structure Blast, Multiple Template Selection, Modeling, Procheck, Ramachandran Plot, Loop Modeling, Structure Analysis, Verification and Energy Minimization.

Content:Introduction of Bioinformatics, Briefing on Immunoinformatics, History of Immunoinformatics, Immunological Databases, Tools for Immunoinformatics and Applications of Immunoinformatics (e.g. Allergies, Infectious Diseases and Host Responses, Immune System Function and Cancer Informatics etc.).

Content:Introduction of Bioinformatics, Integrative Bioinformatics, Datasets and databases for Biological Sequence Acquisition, Representation Related problems in pattern Recognition, Statistical Learning and application of Pattern Recognition, Regulatory Sequence Analysis, Threading, Systems Biology for pattern recognition, SAS in pattern Recognition.

Content:Introduction of Bioinformatics, Biomedical Informatics, Bioinformatics Survey, Clinical and Biomedical data Analysis, Clinical Systems in Computational Biology, Consumer Health Informatics, Information Retrieval, Knowledge Structures, Text Mining, Biomedical & Clinical Practice, Introduction to Biostatistics, Design and Evaluation in Research, Oncoinformatics, SAS and clinical Research Together.

Content:Introduction to Online agricultural resources, Agriculture Datasets and Databases, Integrated agroinformatics, Agriculture journals, Agriculture societies & organizations, Database conceptual Mining and studies, Biological databases, Biological Sequence/structure databases, Farm management and related studies, GM crops development, Biofuels development, Soil Microbiology.

Content:Introduction of Bioinformatics,Introduction to Ayurvedic informatics, Plant datasets and databases, Medicinal plant database, Ayurvedic medical informatics, Medicinal plant genomics, Pharmacogenomics, Pharmacoproteomics, Molecular modeling and ligand discovery, Ayurvedic Drug designing, Medicinal chemistry

Content: Introduction of Bioinformatics, Introduction on Perl & Bioperl, Perl Variables, Control Structure, Conditional Statements, Regular Expression, Subroutines, User Defined Function and File Handling, Array, Hashes and Bioperl.

Content: Introduction to Programming in Bioinformatics, Introduction to My SQL, Introduction to Apache, Introduction to PHP, Importance of biological Databases, Discussion on different Project area, Introduction to data mining from the databases created, Introduction to the basics of HTML, Introduction to PHP Fundamentals, Variables, Data types, Operators, Conditionals, Loops, Basics of Cascading Style Sheets (CSS), Introduction to the concept of functions, Arrays, Introduction to form Processing, Validating User Input with Regular Expressions, Files and Directories, Introduction to MySQL Administration, Introduction to SQL Language.

Content: Introduction of Bioinformatics, Introduction to Drug Designing, Disease Identification, Responsible Gene Ontology, Coding Protein Identification, Protein Structure Finding, Active Site Prediction, Chemical and Drug Database, Chemo-informatics, Docking, Complex Molecule Simulation, Toxicity Prediction with Lipinski Rule of Five, Relevant Software and Tools and Practical Sessions.

Content: Introduction of Bioinformatics, Literature Mining, Protein Name identification, Target Amino Acid Primary Sequence Identification, Sequence Analysis (Blast, Fasta), Secondary Structure Blast, Multiple Template Selection, Modeling, Procheck, Ramachandran Plot, Loop Modeling, Structure Analysis, Verification and Energy Minimization, Sequence Analysis (Blast, Fasta, ClustalW), Comparative Phylogenetic Analysis using MEGA and Phylip.

Content: Introduction of Bioinformatics, Online Overview on Microarray Wet Lab Techniques, Disease Identification, Responsible Gene Ontology, Microarray Data Mining, Raw Data Finding, Microarray Data Normalization, Clustering (Manual and Computational), Comparative Analysis of Clusters, Sequence Analysis (Blast, Fasta, ClustalW), Similar Gene Identification with Phylogenetic Analysis Using Various Softwares.

Content: DNA Evidencing and Applied Bioinformatics, Preparation of DNA Case, Familial search and interpretation of mixed DNA Samples, DNA Profiling and profile statistics, Bayesian bias in DNA Forensics and forensic Science, Scientific Components of DNA Evidence, Molecular Biology and Population genetics, DNA Test Results- making and reviewing, Analysis of STR and VNTR profiles, DNA Evidence collection, contamination and preservation, Evaluation of DNA Evidence, Forensic DNA Profiling – linking different cases, DNA Diagnostics and scope, Sequence unmasking, Computer review and storing DNA evidence and Research Project. .

Content: Introduction of Bioinformatics, Introduction of Bioinformatics, Introduction on Perl & Bioperl, Perl Variables, Control Structure, Conditional Statements, Regular Expression, Subroutines, User Defined Function and File Handling, Array, Hashes and Bioperl, Blast, Phylogenetic Algorithm, Perl CGI/PerlTk.

Content: Introduction to Programming in Bioinformatics, More on Perl Documentation and Resources, Subroutines, Regular Expressions, Modules in Perl, BioPerl presentation and additional information, Brief introduction to biological databases, Introduction to My SQL, Introduction to Apache, Introduction to PHP, Importance of biological Databases, Introduction to the basics of HTML, Introduction to PHP Fundamentals, Variables, Data types, Operators, Conditionals, Loops, Basics of Cascading Style Sheets (CSS), Introduction to the concept of functions, Arrays, Introduction to form Processing, Validating User Input with Regular Expressions, Files and Directories.

Content: Introduction of Bioinformatics, Introduction to basic types in Python, Syntax rules, variables and namespace, Control flow and functions, Exceptions Introduction to the packages, Introduction to classes: Using classes, Introduction to the concept of modules in programming, Biopython, Introduction to Bio.Seq and Bio.SeqRecord modules, Using Seq class, Bio classes for sequences, Bio.SwissProt.SProt and Bio.WWW.ExPASy: Reading entries, Introduction to regular expressions in Python.

Content: Introduction of Bioinformatics, Introduction to Drug Designing, Disease Identification, Responsible Gene Ontology, Coding Protein Identification, Protein Structure Finding, Protein Structure Modeling and Validation, Active Site Prediction, Chemical and Drug Database, Chemo-informatics, Docking, Complex Molecule Simulation, Toxicity Prediction with Lipinski Rule of Five, Relevant Software and Tools and Practical Sessions.

Content: Introduction of Bioinformatics, Online Overview on Microarray Wet Lab Techniques, Disease Identification, Responsible Gene Ontology, Microarray Data Mining, Raw Data Finding, Microarray Data Normalization, Clustering (Manual and Computational), Comparative Analysis of Clusters, Sequence Analysis (Blast, Fasta, ClustalW), Similar Gene Identification with Phylogenetic Analysis Using Various Softwares. Coding Protein Identification from responsible genes, Sequence Analysis (Blast, Fasta), Secondary Structure Blast, Multiple Template Selection, Modeling, Procheck, Ramachandran Plot, Loop Modeling, Structure Analysis, Verification and Energy Minimization.

Content: Introduction to Programming in Bioinformatics, More on Perl Documentation and Resources, Subroutines, Regular Expressions, Modules in Perl, BioPerl presentation and additional information, Brief introduction to biological databases, Introduction to My SQL, Introduction to Apache, Introduction to PHP, Importance of biological Databases, Introduction to the basics of HTML, Introduction to PHP Fundamentals, Variables, Data types, Operators, Conditionals, Loops, Basics of Cascading Style Sheets (CSS), Introduction to the concept of functions, Arrays, Introduction to form Processing, Validating User Input with Regular Expressions, Files and Directories.

Content: Introduction of Bioinformatics, Introduction in Java, Data Types, Identifiers & Variables, Input/Output, Classes & Objects, Methods in Java, Relationship Between Objects, Inheritance and Polymorphism, Exception Handling, Multi Threading, Arrays, Packages, String, String Buffer and String Builder, Servlets & JSP and Database Connectivity (The JDBC), Reflection API, Struts and Framework.