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1
Concepts and importance of Bioinformatics
2
Complexities in biological systems
3
DNA sequence analysis
4
Sequence based parameters
5
Database
6
Database categories
7
Protein structure and function
8
Protein structure and function II
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Protein sequence databases
10
Protein sequence databases II
11
Pairwise alignment
12
Pairwise alignment II
13
Uniprot_Demo
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Sequence alignment
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Sequence alignment II
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Sequence alignment: Online resources
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Sequence alignment: Online resources II
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Conservation score
19
Conservation score II
20
Blast - Demo
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Phylogenetic trees
22
Phylogenetic trees II
23
Protein sequence analysis
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Protein sequence analysis II
25
Hydrophobicity profiles
26
Patterns and PSSM profiles
27
Construction of Non-redundant datasets I
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Non-redundant datasets II
29
Protein secondary structure
30
Secondary structure prediction I
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Secondary structure prediction II
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Secondary structure prediction III
33
Protein tertiary structure - I
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Protein tertiary structure - II
35
Protein structure analysis - I
36
Protein structure analysis - II
37
Protein structure analysis - III
38
Demo: PDB or Pymol or PDBParam
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Demo: Homology Modelling
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Protein structure analysis - IV
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Protein structure prediction - I
42
Protein structure prediction - II
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Protein stability - I
44
Protein stability - II
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Stabilizing residues
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Thermodynamic database
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Stability of proteins upon mutations - I
48
Stability of proteins upon mutations - II
49
Demo: ProTherm
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Protein folding rate - I
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Protein folding rate - II
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Protein interactions - I
53
Protein interactions - II
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Computer aided drug design - I
55
Computer aided drug design - II
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Virtual screening - I
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Virtual screening - II
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QSAR - I
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QSAR - II
60
Demo: Autodock
61
awk programming - I
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awk programming - II
63
Development of algorithms - I
64
Development of algorithms - II
65
Applications of bioinformatics - I
66
Applications of bioinformatics - II
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Overview - I
68
Overview - II
69
Demo: Weka
Description:
Bioinformatics is an interdisciplinary field of science for analyzing and interpreting vast biological data using computational techniques. In this course, we aim to give a walkthrough of the major aspects of bioinformatics such as the development of databases, computationally derived hypothesis, algorithms, and computer-aided drug design. During the first section of the course, we will focus on DNA and protein sequence databases and analysis, secondary structures and 3D structural analysis. The second section will be devoted to applications such as prediction of protein structure, folding rates, stability upon mutation, and intermolecular interactions. Further, we will cover computer-aided drug design using docking and QSAR studies. This course is designed to nurture skills and knowledge required for aspiring students, young biologists and research scholars to develop algorithms and tools in bioinformatics.

Bioinformatics- Algorithms and Applications

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#Data Science #Bioinformatics #Sequence Alignment
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Concepts and importance of Bioinformatics