Computational Biology detailed syllabus for Biotechnology & Biochemical Engineering (BBE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the BBE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Biotechnology & Biochemical Engineering 6th Sem scheme and its subjects, do visit BBE 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to BBE Professional Elective-IV syllabus scheme. The detailed syllabus of computational biology is as follows.
Course Objectives:
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Unit I
BIOMOLECULAR COMPUTING 9
DNA Structure, and Processing , Computational operations and Step involve in DNA computing, Bio-soft Computing Based on DNA Length, Beginnings of Molecular ComputingAdelman Experiment. RNA secondary structure prediction: Base pair maximisation and the Nussinov folding algorithm, Energy minimisation and the Zuker folding algorithm, Design of covariance models, Application of RNA fold.
Unit II
MOLECULARMECHANICS 9
Introduction, The Morse Potential, The Harmonic Oscillator Model for Molecules, Comparison of Morse and Harmonic Potential, Two atoms connected by a bond, Poly atomic Molecules, Energy due to Stretch, Bend, Stretch-Bend, Torsional strain, van der Waals and Dipole-Diploe interactions. Types of Potentials: Lennard-Jones, Truncated Lennard-jones. Types of Force Fields: AMBER, CHARMM, Merck Molecular Force Field, Consistent Force Field, MM2, MM3 and MM4 force fields.
Unit III
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Unit IV
NEXT GENERATION SEQUENCING 9
NGS Platforms: Introduction to NGS, Roche/454 FLX, Illumina/Solexa Genome Analyzer, Applied Biosystems SOLiD system, HelicosHeliscope, Pacific Biosciences/single molecule real time (SMRT) sequencing. Biological applications of NGS: Whole-genome sequencing, Exome sequencing, Transcriptome sequencing, Epigenome sequencing, Interactome sequencing, methylome sequencing.
Unit V
DATA MINING AND DATA WAREHOUSING 9
Need for data warehouse, definition, goals of data warehouse, Data Mart, Data warehouse architecture, extract and load process, clean and transform data, Designing fact tables, partitioning, Data warehouse and OLAP technology. Importance of Data Mining, Relational Databases, Data Warehouses, Transactional Databases, Advance Database Systems and Applications, Data Mining Functionalities, Classification of Data Mining Systems, Major issues in Data Mining.
Course Outcomes:
The students will be able to
- Understand the principles of, biological data and interpretation.
- Demonstrate high throughput biological data and perform statistical analysis.
- Make use of advanced data mining and machine learning techniques
- Create skills on molecular modeling and simulation, whole cell modeling, drug discovery, and Systems Biology
- Clarify the implementation of algorithms which may help them design their own.
- Explain the theory and practical aspects of important computational experimental techniques.
Text Books:
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Reference Books:
- Andrew R. Leach, Molecular Modeling Principles and Applications, Second Edition, Prentice Hall. (2001)
- Jonathan Pevsner. Bioinformatics and Functional Genomics, 2nd Edition. John Wiley & Sons Inc (2015)
- Kriete A. Kriete, R.Eils,, R.Eils, Computational systems biology, Academic Press. (2005)
- Pengcheng Fu, Systems Biology and Synthetic Biology Sven Panke, Wiley InterScience. (2009) 5. Greg Gibson and Spencer V. Muse. A Primer of Genome Science, Third Edition. Sinauer Associates, Inc; (2009)
For detailed syllabus of all the other subjects of Biotechnology & Biochemical Engineering 6th Sem, visit BBE 6th Sem subject syllabuses for 2021 regulation.
For all Biotechnology & Biochemical Engineering results, visit Anna University BBE all semester results direct link.