Introduction to Bioinformatics - 40 Hours of Free Video Tutorials
Anandh Shanmugaraj
Group CEO & MD at Gladwin International & Company ?? India's leading Interim Leadership Consulting, Executive Search and Leadership Advisory Firm.
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Bioinformatics is the application of computer technology to the management of biological information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied to gene-based drug discovery and development.
There is a tremendous application of bioinformatics in the field of homology and similarity tools, protein function analysis, personalized medicine, Gene therapy, Drug development, Comparative Studies and also climate change studies. Computational methodologies have turn into a noteworthy piece of structure based medication outline. Structure-based medication outline uses the three dimensional structure of a protein focus to plan hopeful medications that are anticipated to tie with high natural inclination and selectivity to the objective. In this survey computational systems for expectation of the protein structure are depicted and their utilization towards the medication outline.
When you complete this course, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them.
- Introduction to bioinformatics course 2016
- Introduction to genes and genomes
- Introduction to python programming
- Discussion about python programming
- Databases in Bioinformatics (first hour)
- Databases in Bioinformatics (second hour)
- Sequence alignment (part 1)
- Discussion about databases
- Sequence Alignments
- Discussion about sequence alignments
- Sequence searches (part 1)
- Sequence searching using heuristic methods (part 2) Statistical Scoring
- Discussion about sequence alignments and blast
- Multiple sequence alignments and profiles (part 1)
- Multiple sequence alignments and profiles (part 2)
- Discussion about multiple sequence alignments
- Discussion about systems biology
- Machine learning (part 1)
- Machine learning (part 2)
- Discussion about machine learning
- Phylogeny and evolution (part 1)
- Phylogeny and evolution (part 2)
- Phylogeny - Discussion
- Secondary Structure Prediction Part 1
- Secondary structure Prediction Part 2
- Discussion about secondary structure predictions
- Homology modeling (part 1)
- Homology modeling (part 2)
- Threading - discussion
- Protein folding - 1
- Protein folding 2
- Discussion about folding
- Domains - 1
- Domains -2.
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