Workshop cum Short-term Course on -
Quantitative and Computational Methods for Systems Biology
Commences from January 2022
Organized by SSBTR
Course Highlight/Features
- Live Lectures
- Interactions and doubt clearing from the experts
- Study Materials
- Opportunity to expose real life problem
- Opportunity to gain experience certificate
- Opportunity to gain industry oriented analytical technique
Advantages to join in SSBTR Workshop
This Online Workshop provides a unique opportunity to learn the concepts of analytics from the National & International experts, gain certification at their own pace, and gather knowledge & skills required for the forefront academics or to make a successful career in the R & D of Medical Analytics, Pharmaceuticals and Health Care Industry.
Registration Process
Interested participants are requested to send email to bishwajit@ssbtr.net and make cc to web.ssbtr@gmail.com with the following details:
- Name
- Occupation
- Organization Name (present/ last attended)
- Email Id
- WhatsApp No.
- Course level & following attachments:
- Academic ID card (if you are in academics) or Latest certificate (if you are pass-out graduates)
- Bank transfer copy
Registration Fees for each level
Student and pass-out
graduate: INR 2,000
Guest Faculty: INR 3,000
Foreign Participants: INR 5,000
A/C Name: Society for Systems Biology & Translational Research.
SB A/C No: 402510110007942, IFSC Code: BKID0004025;Bank Name: Bank of India; Branch: Bangur Avenue;
MICR Code: 700013005
Tentative topic that will be covered:
Beginners’ level
# Computational and Open-source platform
# Program syntax in MATLAB, GNU-Octave, Python# Handling data in GNU-Octave for analysis of statistical measures
# Regression and Correlation analysis, Linear and Non-linear fit
# Statistical Reasoning and Applications (Test for Significance)
# Basics of Numerical Methods, numerical integration, function evaluation, matrix operation
# Analytical Methods
# Visualization of biological macromolecular structures
# Modelling of Dynamical Systems
# Fourier Analysis – Basic
# Introduction to Artificial Intelligence and Machine Learning
# Optimization Techniques I
Moderate level
# Prediction of structure of proteins
# Pairwise and multiple sequence comparison# Program syntax in Python, R
# Refinement of predicted structure using Potential Energy
# Energy minimization
# Molecular Dynamics
# Receptor based drug design
# Monte Carlo simulations
# Advanced topics of Artificial Intelligence and Machine Learning
# Optimization Techniques II
# Biomaterials
Advance level
# Biomechanics
# Finite element analysis
# Advance modelling of dynamical systems
# Deep learning
# Free energy analysis
# Fourier Analysis Applications
# Image Analysis
# Invited foreign faculties
# Structure Equation Modeling
# Confirmatory factor Analysis
# Projects
