Bioinformatics Pharma 6th Sem Syllabus for B.Tech 2017 Regulation Anna Univ (Professional Elective III) detail syllabus for Pharmacy (Pharma), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (BT8651), Category (PE), Contact Periods/week (5), Teaching hours/week (3), Practical Hours/week (2). The total course credits are given in combined syllabus.
For all other pharma 6th sem syllabus for b.tech 2017 regulation anna univ you can visit Pharma 6th Sem syllabus for B.Tech 2017 regulation Anna Univ Subjects. For all other Professional Elective III subjects do refer to Professional Elective III. The detail syllabus for bioinformatics is as follows.
Course Objective:
- To improve the programming skills of the student
- To let the students know the recent evolution in biological science
Unit I
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Unit II
Sequence Alignment
Sequence Analysis, Pair wise alignment, Dynamic programming algorithms for computing edit distance, string similarity, shotgun DNA sequencing, end space free alignment. Multiple sequence alignment, Algorithms for Multiple sequence alignment, Generating motifs and profiles, Local and Global alignment, Needleman and Wunsch algorithm, Smith Waterman algorithm, BLAST, PSIBLAST and PHIBLAST algorithms.
Unit III
Phylogenetic Methods
Introduction to phylogenetics, Distance based trees UPGMA trees, Molecular clock theory, Ultrametric trees, Parsimonious trees, Neighbour joining trees, trees based on morphological traits, Bootstrapping. Protein Secondary structure and tertiary structure prediction methods, Homology modeling, abinitio approaches, Threading, Critical Assessment of Structure Prediction, Structural genomics.
Unit IV
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Unit V
Perl Programming
Basics of PERL programming for Bioinformatics: Data types: scalars and collections, operators, Program control flow constructs, Library Functions: String specific functions, User defined functions, File handling.
Course Outcome:
Upon completion of this course, students will be able to
- Develop bioinformatics tools with programming skills.
- Apply computational based solutions for biological perspectives.
- Pursue higher education in this field.
- Practice life-long learning of applied biological science.
Text Books:
- Introduction to Bioinformatics by Arthur K. Lesk , Oxford University Press.
- Algorithms on Strings, Trees and Sequences by Dan Gusfield, Cambridge University Press.
- Biological Sequence Analysis Probabilistic Models of proteins and nucleic acids by R.Durbin, S.Eddy, A.Krogh, G.Mitchison.
- Bioinformatics Sequence and Genome Analysis by David W. Mount, Cold Spring Harbor Laboratory Press.
- Beginning Perl for Bioinformatics: An introduction to Perl for Biologists by James Tindall, OReilley Media
References:
- Bioinformatics The Machine Learning Approach by Pierre Baldi and Soren Brunak.
For detail syllabus of all other subjects of B.Tech Pharma, 2017 regulation do visit Pharma 6th Sem syllabus for 2017 Regulation.
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