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SASTRA UniversityThanjavur
Name of the Degree Programme : B.Tech. Bioinformatics Integrated M.Tech. Bioinformatics
Duration : B.Tech. - 4 years
Integrated M.Tech. - 5 years
Programme Objective
To create graduates with capabilities to interpret large scale biological data in the post genome
era
To train a generation of students with strong programming skills to deelop tools and
algorithms to analyse biological se!uences" structures" gene e#pression data and for pathway
modelling
To impart skills in structural modelling" drug design and systems biology with a strong
emphasis on programming and high end computingsuited for research and industry
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Curriculum Design
Semester III
S No Co!e No SubjectPerio! Per "ee# Cre!it
$ T P $
% BBI$M%&'()'(
MBI$M%&'(
*ngineering Mathematics III & ( ' 4
& BBI$BI&'+)'&
MBI$BI&'+$ell and Molecular Biology & ( ' 4
' BBI$BI&'&)'+
MBI$BI&'&Biochemistry & ( ' 4
( BBI$BI&'4)'+
MBI$BI&'4
Basic Bioinformatics & ( ' 4
) BBI$BI&'5)'(
MBI$BI&'5
%lgorithms , ata tructures & ' ' &
* BBI$BI&'/)'+
MBI$BI&'/
Basic Biocomputing & ( ' 4
+ BBI$BI&'0)'+
MBI$BI&'0
Basic Biocomputing 1aboratory ' ' & +
, BBI$BI&'2)'+
MBI$BI&'2
Basic Bioinformatics 1aboratory ' ' & +
Total (2 5 / +0
Semester -
SNo Co!e No SubjectPerio! Per "ee# Cre!it
$ T P C% BBI$M%5'()'+
MBI$M%5'(*ngineering Mathematics 3 & ( ' 4
& BBI$BI5'+)'&
MBI$BI5'+rotein *ngineering & ( ' 4
' BBI$BI5'&)'(
MBI$BI5'&aa for Bioinformatics & ( ' 4
( BBI$BI 5'4)'(
MBI$BI5'4
Molecular Modelling I & ( ' 4
) BBI$BI5'5)'+
MBI$BI5'5Machine 1earning in Bioinformatics & ( ' 4
* BBIBI 5'()'(6MBIBI5'(
BBIBI5'+)'(6
MBIBI5'+
ata Mining , 7arehousing6
$linical Informatics
4 ' ' 4
+ BBI$BI5'/)'&
MBI$BI5'/Molecular Modelling 1aboratory I ' ' & +
, BBI$BI 5'0)'+
MBI$BI5'+aa 1aboratory ' ' & +
. BBI$BI5'2)'(
MBI$BI5'2
eminar ' ' & (
%/ BBI$T5'86
MBI$T5'8
9) kills + ' ' +
Total +( 5 8 &(
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Course Outline
emester number : &
'0%0/0(
1earning outcome for11IC2A'/%R/%321IC2A'/%4 5N6IN55RIN6 2AT752ATICS 8 III
Course Objectives: To help the learners in understanding various transform techniques used in
Engineering disciplines and Analytic function theory in engineering computations.
UNIT I %) Perio!s
1%1%$* T)%;
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$5ARNIN6 OUTCO25S
Dnit I The learner will hae knowledge to use the transform techni!ues in other fields of
*ngineering such as ignal and Image processing and also to transform functions from
one domain to another domain.
Dnit II The learner will be able to apply arious concepts in %nalytic ;unction Theory in
application areas such as heat conduction" elasticity" fluid dynamics and flow of
electric current.
Dnit III The learner will be capable of ealuating complicated integrals using residue calculus.Dnit I3 The learner will hae a strong idea of applying ;ourier transform techni!ues in
soling boundary and initial alue problems in arious branches of *ngineering.
emester number: &
'0%0/0(
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1earning outcome for 11IC1I'/&R/'321IC1I'/&4 C5$$ AND 2O$5CU$AR 1IO$O6AR57OUSIN6
Course Objective: To help learners understand the fundamental processes, concepts and techniques of
data mining in biology ith particular emphasis on data arehousing, classification, clustering and
association rule mining; develop the ability to select methods and techniques appropriate for a given
biological data mining problem.
UNIT I %) =erio!s
%T% 7%)*9
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reductionK data discretiGation and concept hierarchy generation: discretiGation and concept hierarchy
generation for numerical data - concept hierarchy generation for categorical data.
UNIT III %) =erio!s
%
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UNIT III %) =erio!s
M*I$%1 T)%$)ITI9ealth Informatics?" +6e" atrice egoulet , Marius ;ieschi"
pringer" +''4.
$5ARNIN6 OUTCO25S
Dnit I The learner will able to understand the purpose and functions of arious types of
professional electronic patient records >doctor initiated" facility'specific" inter'facility?as well as the personal electronic health record >initiated by the patient?. They also will
learn medical imaging and identify their characteristics.
Dnit II The learner will able to understand %ccessibility" Puality" ustainability of 9ealth
serices and medical care and ethics.
Dnit III The learner will able to understand recording of clinical data and strategies of
enhancing documents with graphics.
Dnit I3 The learners will able to understand the principles inoled in clinical case studies and
the descriptie" e#planatory analysis of a person" group or eent about the
emester number: 5
/0/0'0&
1earning outcome for 11IC1I)/*R/'3 21IC1I)/*4 2O$5CU$AR 2OD5$$IN6$A1ORATOR< I
Course Objective: This lab intends to train students to perform molecular modelling using various
online and standalone softares and calculate conformational energies of the molecules.
% %nalysis and 3isualisation of Brookhaen B file formatted te#t file
& Molecular ketching and
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*#. o. ( tudents will learn using arious isualiGation software programs to display the protein
structures.
*#. o.+ The tudents will get hands-on-training to draw the arious small molecules and will also
learn to optimiGe their oerall geometry.
*#. o.& The tudents will build the molecule using the software program in the lab and will learn
to calculate the potential energy of molecules for different conformations of a molecule
*#. o.4 The students will be able to perform conformational systematic search by modelling
using computer and will be able to draw potential energy surface and will identify the
ma#imum and minimum energy points through isual inspection and the alues.*#. o.5 7ill get hands on training on the energy minimiGation of protein structures and will be
able to interpret the results of the outcome.
*#. o./ 7ill be able to calculate electrostatic potential on the surface of the protein structures and
will be able to identify the charged regions on the surface of the molecule.
*#. o. 0 7ill learn to construct arious molecules and will be able to calculate partial atomic
charges on each atoms that make up the molecule.
*#. o. 2 7ill be able to perform energy minimiGation of protein-nucleic acid comple#es using the
molecular mechanics forcefields.
*#. o. 8 7ill learn to calculate the ariations in the potential energy of the protein molecule using
in silicomutations.
*#. o. (' 7ill learn to perform conEugate gradient and steepest escents methods of energyminimiGation of gien molecule and will be able to choose best method for this procedure
*#. o. (( 7ill able to identify short-contacts in the protein structures in the rotein ata Bank
using online software programs.
*#. o. (+ 7ill be able to calculate *nergy of molecules using arious ab initio!uantum mechanical
calculations
emester number:5
/0/0'0&
1earning outcome for11IC1I)/+R/&321IC1I)/&4 @A-A $A1ORATOR
