Modular Course in Biochemistry, Cell and molecular biology for bioinformatics
Background:
The course will be taught in three sub-modules. The first sub-module
(Ia) will impart basic knowledge and other two (Ib and Ic) have been designed to teach different bioinformatics applications like Sequence Analysis, Microarray Expression data analysis, Genome Analysis, Gene Finding, Systems Biology, Pathways Analysis etc.
1 a .Foundation course for bioinformatics
This course has been designed to provide the knowledge in following core subjects: Biology, Statistics, Chemistry and Mathematics. These subjects are prerequisite to understand Bioinformatics.
Fees Structure:
Type of participants
Fees
Academic professionals (researchers/teachers)
Rs. 2,000/-
Industrial professionals
Rs. 3,000/-
Students
Rs. 1,000/-
Ib. Basic course in Biochemistry, Cell and Molecular Biology for Bioinformatics
This course has been designed to teach following advanced subjects:
Protein structure and function
Protein folding and structural classification
Signaling and metabolic pathways
Metabolite engineering and Flux analysis
Gene expression analysis using high throughput methods
Bioinformatics analysis and application tools to analyze protein and nucleotide sequences
Analysis of protein domain, motifs and profiles
Teaching on Sequence Analysis packages like: EMBOSS and GCG
Fees Structure:
Type of participants
Fees
Academic professionals (researchers/teachers)
Rs. 3,000/-
Industrial professionals
Rs. 4,000/-
Students
Rs. 2,000/-
Ic . Basic course in Biochemistry, Cell and Molecular Biology for Bioinformatics
This course has been designed to teach following advanced subjects:
Proteomic studies using 2D gel and mass spectrometry techniques
Protein microarray
Biological data analysis using Chip on Chip methods
Bioinformatics analysis and application for high throughput genomics/transcriptomics data
Systems Biology from Bioinformatics point of view
Designing biological databases
Usage of major molecular databases
Fees Structure:
Type of participants
Fees
Academic professionals (researchers/teachers)
Rs. 3,000/-
Industrial professionals
Rs. 4,000/-
Students
Rs. 2,000/-
Introduction to Probability and Statistics
Background: Ideas about probability and statistics are more misunderstood than understood. The objective of this course is to clear the air, and, hopefully, even persuade its participants to fall in love with these subjects. Statistics has become an essential tool in life science which is becoming increasingly quantitative and computational. Analysis of biological information poses challenging statistical problems due to size, complexity and intricate interrelationships. Researchers and professionals in life sciences will encounter analytical concepts and formulations more and more in the years to come. It’s time to get better acquainted with probability and statistics.
Participants: This course is intended for those working in the broad area of bioinformatics and biostatistics in academia and industry.
Course Outline: The course covers,
Measures of central tendency and dispersion | covariance and correlation.
Probability fundamentals | conditional probability and independence | Bayer’s theorem | Markov Chains |Introduction to HMM.
Testing of hypotheses | power of a test | meaning of p-value
Multivariate analysis including principal component analysis |factor analysis
Clinical trials | Multiple regression
Discussion and presentation of case studies.
The course will involve the solution of at least 100 problems, some of them involving the use of a statistical analysis software like SYSTAT.
