Sunday, July 8, 2012

EC9073-BIOINFORMATICS-B.E -CSE-COMPUTER SCIENCE AND ENGINEERING SEVENTH-VII SEMESTER 2008 REGULATION ANNA UNIVERSITY SYLLABUS



CSE Computer Science And Engineering VII-Seventh Semester Syllabus 2008 Regulation Anna University


AIM:
By using the well-tested and successful approach of problem-based learning, students will learn through applying the strategies and tools used in bioinformatics to topical problems drawn from ongoing research and applications in a variety of fields.

OBJECTIVES:
·    To emphasize how to use the computer as a tool for biomedical research.
·    To understand the use of Databases and Data mining concepts in the field of biology
·    To  study  and  understand  the  various     modeling  techniques  that  are  used  for modeling biological data
·    To explore visualization techniques for DNA and RNA molecules
·    To be aware of the microarray technology for genome expression study

UNIT I           INTRODUCTION                                                                                         9
Need for Bioinformatics technologies Overview of Bioinformatics technologies Structural bioinformatics Data format and processing secondary resources and applications Role of Structural bioinformatics - Biological Data Integration System.

UNIT II          DATAWAREHOUSING AND DATAMINING IN BIOINFORMATICS         9
Bioinformatics data Datawarehousing architecture data quality – Biomedical data analysis DNA data analysis – Protein data analysis – Machine learning Neural network architecture and applications in bioinformatics

UNIT III         MODELING FOR BIOINFORMATICS                                                         9
Hidden markov modeling for biological data analysis Sequence identification Sequence classification multiple alignment generation – Comparative modeling Protein modeling – genomic modeling Probabilistic modeling Bayesian networks Boolean networks - Molecular modeling Computer programs for molecular modeling

UNIT IV        PATTERN MATCHING AND VISUALIZATION                                          9
Gene regulation motif recognition motif detection strategies for motif detection Visualization Fractal analysis – DNA walk models one dimension two dimension higher dimension Game representation of Biological sequences DNA, Protein, Amino acid sequences

UNIT V         MICROARRAY ANALYSIS                                                                         9
Microarray technology for genome expression study image analysis for data extraction
preprocessing segmentation gridding spot extraction normalization, filtering
cluster analysis gene network analysis Compared Evaluation of Scientific Data
Management Systems Cost Matrix Evaluation model - Benchmark - Tradeoffs




TEXT BOOKS:

TOTAL: 45 PERIODS

1.  Yi-Ping  Phoebe  Chen  (Ed),  BioInformatics  Technologies,  First  Indian  Reprint, Springer Verlag, 2007.
2.  Zoe lacroix and Terence Critchlow, BioInformatics Managing Scientific data, First
Indian Reprint, Elsevier, 2004

REFERENCES:
1.  Zoe Lacroix and Terence Critchlow, Bioinformatics Managing Scientific Data, First Edition, Elsevier, 2004
2.  Bryan Bergeron, Bio Informatics Computing, Second Edition, Pearson Education,
2003.
3.  Arthur M Lesk, Introduction to Bioinformatics, Second Edition, Oxford University
Press, 2005

7/08/2012 02:33:00 AM

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