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OPEN ELECTIVE OFFERED BY DEPT OF BIOTECHNOLOGY

S. COURSE COURSE TITLE CATEGORY CONTACT L T P C
NO. CODE PERIODS
1 OBT1701 Basic Bioinformatics OE 3 3 0 0 3
Biotechnology in Product
2 OBT1702 OE 3 3 0 0 3
Development
3 OBT1703 Food and Nutrition OE 3 3 0 0 3
4 OBT1704 Medical Sciences for Engineers OE 3 3 0 0 3
Application of Biotechnology
5 OBT1705 OE 3 3 0 0 3
for Environmental protection
6 OBT1706 Fermentation Technology OE 3 3 0 0 3

OBT1701 BASIC BIOINFORMATICS L T P C
3 0 0 3
COURSE OBJECTIVES

This course aims to develop the skills of the students in Bioinformatics. At the end of this course,
the students would have learnt about tools used in Bio informatics & how to use them.

UNIT I INTRODUCTION 9

Basic UNIX commands – telnet – ftp – protocols – hardware – topology -search engines – search
algorithms – R/python programming.

UNIT II DATABASES 9

Data management – data life cycle – database technology – interfaces and implementation –
different biological databases and their uses

UNIT III SEQUENCE ALIGNMENT, PATTERN MATICHING AND
STATISTICAL METHODS 9
Pairwise sequence alignment – local vs. global alignment – multiple sequence alignment – dot matrix
analysis – substitution matrices – dynamic programming – bayesian methods – tools – BLAST –
FASTA- machine learning – neural networks – statistical methods – Hidden Markov models

UNIT IV PHYLOGENY 9

Introduction; mutations; irrelevant mutations; controls; mutations as a measure of time; distances;
reconstruction; distances between species; estimating time intervals from distances.

UNIT V ADVANCED TOPICS IN BIOINFORMATICS 9

Concept of Central Dogma, Gene, Genome, Proteome, Pathway, Gene Expression Data. Examples of
high throughput data analysis and data visualisation. Scatter plots ,Heat maps.

TOTAL : 45 PERIODS

Curriculum and Syllabus | Open Electives | R 2017 | REC Page 21