About This Course
Advanced Bioinformatician Course Allows You To Develop Advanced Bioinformatician Skills
To become an expert Bioinformatician, one must learn how to retrieve and analyze biological data in the most efficient way, to learn how to align & analyze biological sequences to predict the evolutionary histories between them, to find out the conserved patterns, to learn how to predict coding regions or genes from a raw nucleotide sequence, and 3D structure prediction of proteins to predict the functionalities of newly discovered proteins, as well as, to predict the molecular interactions for generating virtual simulations according to their molecular interactional information of a chemical/biological ligand & the receptor, which aids in the identification of lead compound in drug discovery & development.
Owing to the rapid development of faster computer architectures and better algorithms for high-level computations in a time-affordable manner, the impact of computational drug design for novel drug discovery has been intensified. MD simulation analysis is one of the essential steps while designing novel drugs using computational approaches. MD analysis not just evaluates and validates the protein structures, either predicted computationally or experimentally, but also validates the drug-target compatibility by providing various statistical information about the interacting drug-target complex.
In this course you’ll learn from the very basics of Bioinformatics analysis skills including the most commonly utilized biological databases, their features, data retrieval & analysis, to advanced MD simulation & analysis that provides detailed information about the fluctuations and conformational changes in proteins and nucleic acids.
You’ll also learn how to find conserved patterns and variable regions within sequence alignments & analysis and perform phylogenetic analysis to find out the evolutionarily related species/sequences. Along with various in-demand and highly efficient Molecular Docking & Docking complex evaluation tools/web servers, you’ll also be to find out the protein clusters interacting together to perform various biological functions, predict genes or CDS regions from raw DNA sequence, predict, visualize and evaluate 3D structures of proteins to functionally annotate the biological molecules.
You’ll also be able to learn from the very basics of biological programming in Python, BioPython & R to an advanced level understanding of Bioinformatics Scripting, even if you lack prior knowledge.
Joining and learning from the Advanced Bioinformatician Course can enhance your biological career by learning through various useful & informative pre-recorded lectures on Bioinformatics tools, databases, servers and biological programming in Python, R and Linux(BASH).
Learning Objectives
Target Audience
- The target audience for the Advanced Bioinformatician Course are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and analysis.
- However, a superficial understanding of molecular biology and logic development for coding is expected from you before you join the course.
- Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.
