Bioinformatics detailed syllabus for Pharmaceutical Technology (Pharma Tech) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Pharma Tech 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 Pharmaceutical Technology 5th Sem scheme and its subjects, do visit Pharma Tech 5th Sem 2019 regulation scheme. For Professional Elective-II scheme and its subjects refer to Pharma Tech Professional Elective-II syllabus scheme. The detailed syllabus of bioinformatics is as follows.
Course Objective:
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Unit I
Biological Databases and Sequence Analysis
Introduction to Bioinformatics and Computational Biology, Biological sequences, Biological databases, Genome specific databases, Data file formats, Data life cycle, Sequence Analysis, Pair wise alignment, Dynamic programming algorithms for computing edit distance, string similarity, shotgun DNA sequencing, end space free alignment.
Unit II
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Unit III
Next Generation Sequencing, Data Analysis and Applications
Genome Sequencing, Assembling the Genome, Next Generation Sequencing, Data Formats, Exome Sequencing, Rna-Seq and its Applications.
Unit IV
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Unit V
Machine Learning,Other Bioinformatics Applications
Machine learning techniques: Artificial Neural Networks for protein secondary structure prediction, Hidden Markov Models for gene finding, Support Vector Machines. Introduction to Systems Biology, Microarray analysis, DNA computing, Bioinformatics approaches for drug discovery.
Course Outcome:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- Introduction to Bioinformatics by Arthur K. Lesk, Oxford University Press. ,4th edition 2014
- 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, Cambridge University Press. 2013
- Bioinformatics Sequence and Genome Analysis by David W. Mount, Cold Spring Harbor Laboratory Press. 2nd edition, 2004
References:
- Bioinformatics The Machine Learning Approach by Pierre Baldi and Soren Brunak, Cambridge University Press 2001
- RNA-seq Data Analysis: A Practical Approach, by EijaKorpelainen, JarnoTuimala, PanuSomervuo, Mikael Huss and Garry Wong. CRC Press 2014
- Next Generation Sequencing Data Analysis, by Xinkun Wang CRC Press 2016
For detailed syllabus of all the other subjects of Pharmaceutical Technology 5th Sem, visit Pharma Tech 5th Sem subject syllabuses for 2019 regulation.
For all Pharmaceutical Technology results, visit Anna University Pharma Tech all semester results direct link.