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.
Week 1 : Introduction, DNA sequence analysis, DNA Databases Week 2 : Protein structure and function, protein sequence databases, sequence alignment Week 3 : PAM matrix, Global and local alignment, BLAST: features and scores Week 4 : Multiple sequence alignment, Conservation score, phylogenetic trees Week 5 : Protein sequence analysis, hydrophobicity profiles, non-redundant datasets Week 6 : Protein secondary structures, Ramachandran plot, propensity, secondary structure prediction Week 7 : Protein tertiary structure, Protein Data Bank, visualization tools, structural classification, contact maps Week 8 : Protein structural analysis, protein structure prediction Week 9 : Protein stability, energetic contributions, database, stabilizing residues, stability upon mutations Week 10 : Protein folding rates, proteins interactions, binding site residues Week 11 : Computer aided drug design, docking, screening, QSAR Week 12 : Development of algorithms, awk programming, machine learning techniques, applications using WEKA
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
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How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.