Coming soon
COMPUTATIONAL BIOLOGY
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Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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DZOL 814P |
COMPUTATIONAL BIOLOGY |
The students will be able to-
CO1: Get hands-on practice of various microscopic techniques oculometery, centrifugation and UV - visible spectroscopy. CO2: Retrieve information from biological databases along with the submission of sequences into the databases using BLAST & FASTA. |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching
Learning activities for the students: Self-learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks, Field practical |
Class test Semester end examinations, Quiz Assignments Presentation Individual and group projects |
Bioinformatics
Accessing biological databases
Retrieval of nucleotide and protein sequences from the databases.
To perform pair-wise alignment of sequences (BLAST) and interpret the output.
Biological tools and techniques
Microscopes
Standardization of Occulometer and measurements of tubular diameter, cell heights.
Measurement of diameter of thyroid follicles.
To study the structure & function of Centrifuge.
To study the principle of UV & visible light spectroscopy
Biostatistics
To learn graphical representations of statistical data with the help of computers
(e.g. MS Excel) and bar diagram, frequency polygon, histogram, pie chart.
Hands-on practice of SPSS software.
SUGGESTED READINGS
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Ghosh Z and Mallick B. (2008). Bioinformatics: Principles and Applications, Oxford University Press.
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Pevsner J. (2009). Bioinformatics and Functional Genomics, II Edition, Wiley Blackwell.
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Zvelebil, Marketa and Baum O. Jeremy (2008). Understanding Bioinformatics, Garland Science, Taylor and Francis Group, USA.
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Zar, Jerrold H. (1999). Biostatistical Analysis, IV Edition, Pearson Education Inc and Dorling Kindersley Publishing Inc. USA
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Antonisamy, B., Christopher S. and Samuel, P. P. (2010). Biostatistics: Principles and Practice. Tata McGraw Hill Education Private Limited, India.
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Pagana, M. and Gavreau, K. (2000). Principles of Biostatistics, Duxberry Press, USA
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Wilson and Walker. Practical Biochemistry. Cambridge, 2000.
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Cooper. The Cell-A Molecular Approach. ASM, 1997
e-RESOURCES:
- e- PGPathshala
- =https://epgp.inflibnet.ac.in/Home/ViewSubject?catid=2rAs1Puvga4LW93zMe83...
- https://www.ncbi.nlm.nih.gov/
- https://vlab.amrita.edu/index.php?sub=3&brch=311
JOURNALS:
- Journal of Bioinformatics and Computational Biology. ISSN (print): 0219-7200 | ISSN (online): 1757-6334.
- BMC Bioinformatics, Publisher: BioMed Central ltd. ISSN: 1471-2105.
