bioinformatics semester 8th

8/10/2019 bioinformatics semester 8th

1/14

Yashwantrao

Chava

n

Maharashtra

Open

Univers

ity

M.Sc.

inBio-Informatics

SyllabuS

Yashwantrao ChavanMaharashtra

Open UniversityDnyangangotri, Near Gangapur Dam,

Nashik 422 222, IndiaPhone: 0253-223!4, 223!5, 2234!3

"a#: 2234!3$ 223!%&mai': s(te(h)y(mou*(om

+esite: http:$$*y(mou*(om$

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Bio-Informatics Proramme Curriculum Pae 1of 14


2/14

Contents .harts and /a'es *************************************************************************************************************3

* io-In1o rmati(s Programme tru(ture .harts **************************************************************3

*2 io-In1o rmati(s Programmes Detai' s ***************************************************************************4

*3 ioin1ormati(s .ourse Detai' s **************************************************************************************4

*4 .ourse Distriution .hart ********************************************************************************************52 y''aus ***************************************************************************************************************************%

2* emester 0 ****************************************************************************************************************%

200, .678* 9'' ights eser;ed*Price: Indian s 200$- or 8< 50$- on'y* "ree Don'oad o1 Internet =ersion*Last Update: aturday, >une 2!, 200?Printed By:Publisher: egistrar, .678, Nashik 422 222, India*



3/14

! Charts an" #ables

!.! Bio-Informatics Proramme Structure Charts

!.!.! $or O"" %umbere" SemestersMandatoryCS Month

September October November ecember !anuary

OddNumberedSemester

Course 14 CP" #heory

Course


Course

Course $4 CP" #heory

Course

Course 44 CP" # heory

Course

Course %4 CP" Practical or

Pro&ect'(or) Course

0I0:

asi( io'ogy

I02:.ommuni(ation

ki''s

I03:6athemati(s

I04:&n;ironmenta'

(ien(e

I05:@a, .ourse

03

I03:asi(

io(hemistry

I032:Genera'

6i(ro,io'ogy-I

I033:Physio'ogy

I034:6eta,o'ism

I035:@a, .ourse

05I05:asi(s o1

ioin1ormati(s

I052:.omputer

Programming-I

I053:

D6-I

I054:Introdu(tion to

6o'e(u'arGeneti(s

I055:

@a .ourse

0!

00!:.on(epts in

.omputing andasi(s o1

ioin1ormati(s

I0!2:io'ogi(a'.hemistry

I0!3:tatisti(a'/e(hniAues

I0!4:tru(tura' io'ogy

I0!5:@a .ourse

0?I0?:

io(hemistry o16etao'ism

0?0?2:eAuen(e-asedioin1ormati(s

9pproa(hes

I0?3:Programming

@anguages ando1tarte /oo's

inioin1ormati(s-I

I0?4:Programming

@anguages ando1tarte /oo's inioin1ormati(s-II

I0?5:@a .ourse

!.!.& $or 'ven %umbere" Semesters

MandatoryCS Month

March *pril May !une !uly

+venNumberedSemester


Course


Course

Course $4 CP" #heory

Course


Course

Course %4 CP" Practical or

Pro&ect'(or) Course

02I02:

asi( tatisti(sI022:

asi( .hemistryI023:

9pp'ied Physi(s

I024:Programming

.on(epts

I025:@a, .ourse

04I04:

.e'' io'ogy-II042:

asi( ios(ien(es

I043:iophysi(a'

/e(hniAues-I

I044:6o'e(u'ar io'ogy-I

I045:@a, .ourse

0%

I0%:.omputationa'

6o'e(u'ario'ogy

I0%2:.omputer

Programming-II

I0%3:D6-II

I0%4:.e'' io'ogy,Geneti(s B

Immuno'ogy

I0%5@a .ourse

0

I0:Genomi(s

Dataases and9pp'i(ations

I02:Geneti(

In1ormation"'o and

Pro(essing

I03:Programming in

Per'

I04:Protein tru(ture

Predi(tion and6o'e(u'ar6ode'ing

I05@a (ourse

0I0:Geneti(

&ngineering

I02:Geneti(s and

Genomi(s

I03:Dataase

6anagementystems

I04:esear(h

6ethodo'ogy

I05ProCe(t

Bio-Informatics Proramme Curriculum Pae $of 14


4/14

!.& Bio-Informatics Prorammes (etails

SN Pro,ramme -or certi.ication" student must con.irm tospeci.ied certi.ication eli,ibility criteria and.oll o/in, courses spec i.i ed .or therespective pro,ramme must be success.ullycompleted

Post'0raduate e,ree Pro,ramme

6*(* io-In1ormati(sE 9'' 20 (ourses at semester 0! to 0

0raduate e,ree Pro,ramme

*(* io-In1ormati(sE 9'' 30 (ourses at semester 0 to 0%

!.) Bioinformatics Course (etails

.P: .redit Points

./: .ounse'ing ession /ime/: e'1-tudy /ime.at: .ourse .ategory 1rom the e'o:

: asi( (ien(e em 0-02E

D: Dis(ip'ine asi( em 03-04E D.: Dis(ip'ine .ore em 05-0%E

.: pe(ia'iFation .ourses em 0!0E/ype: .ourse /ype 1rom the e'o: /: /heory

P: Pra(ti(a' P: eminar or ProCe(t-+ork

SN Semester Course

Code Name CP CS# SS# Mar)s Cat #ype

!

I0 asi( io'ogy 4 40 20 00 /

2 I02 .ommuni(ation ki'' 4 40 20 00 /

3 I03 6athemati(s 4 40 20 00 /

4 I04 &n;ironmenta' (ien(e 4 40 20 00 /

5 I05 @a .ourse 4 0 20 00 P

%

&

I02 asi( tatisti(s 4 40 20 00 /

! I022 asi( .hemistry 4 40 20 00 /

I023 9pp'ied Physi(s 4 40 20 00 /

? I024 Programming .on(epts 4 40 20 00 /

0 I025 @a .ourse 4 0 20 00 P

)

I03 asi( io(hemistry 4 40 20 00 D /

2 I032 Genera' 6i(roio'ogy-I 4 40 20 00 D /

3 I033 Physio'ogy 4 40 20 00 D /

4 I034 6etao'ism 4 40 20 00 D /

5 I035 @a .ourse 4 0 20 00 D P

%

*

I04 .e'' io'ogy-I 4 40 20 00 D /

! I042 asi( ios(ien(es 4 40 20 00 D /

I043 iophysi(a' /e(hniAues-I 4 40 20 00 D /

? I044 6o'e(u'ar io'ogy-I 4 40 20 00 D /20 I045 @a .ourse 4 0 20 00 D P

2

+

I05 asi(s o1 ioin1ormati(s 4 40 20 00 D. /

22 I052 .omputer Programming - I 4 40 20 00 D. /

23 I053 D6 - I 4 40 20 00 D. /

24 I054 Introdu(tion to 6o'e(u'ar Geneti(s 4 40 20 00 D. /

25 I055 @a .ourse 4 0 20 00 D. P

2% , I0% .omputationa' 6o'e(u'ar io'ogy 4 40 20 00 D. /2! I0%2 .omputer Programming - II 4 40 20 00 D. /

2 I0%3 D6 - II 4 40 20 00 D. /



5/14

SN Semester Course

Code Name CP CS# SS# Mar)s Cat #ype

2? I0%4 .e'' io'ogy, Geneti(s BImmuno'ogy

4 40 20 00 D. /

30 I0%5 @a .ourse 4 0 20 00 D. P

2%

00! .on(epts in .omputing and asi(s

o1 ioin1ormati(s

4 40 20 00 . /

2! I0!2 io'ogi(a' .hemistry 4 40 20 00 . /

2 I0!3 tatisti(a' /e(hniAues 4 40 20 00 . /

2? I0!4 tru(tura' io'ogy 4 40 20 00 . /

30 I0!5 @a .ourse 4 0 20 00 . P

2%

I0 Genomi(s Dataases B 9pp'i(ations 4 40 20 00 . /

2! I02 Geneti( In1ormation "'o andPro(essing

4 40 20 00 . /

2 I03 Programming in Per' 4 40 20 00 . /

2? I04 Protein tru(ture Predi(tion B6o'e(u'ar 6ode''ing

4 40 20 00 . /

30 I05 @a .ourse 4 0 20 00 . P

2%

/

I0? io(hemistry o1 6etao'ism 4 40 20 00 . /

2! 0?0?2 eAuen(e-ased ioin1ormati(s9pproa(hes

4 40 20 00 . /

2 I0?3 Programming @anguages ando1tarte /oo's in ioin1ormati(s-I

4 40 20 00 . /

2? I0?4 Programming @anguages ando1tarte /oo's in ioin1ormati(s-II

4 40 20 00 . /

30 I0?5 @a .ourse 4 0 20 00 . P

2%

!0

I0 Geneti( &ngineering 4 40 20 00 . /

2! I02 Geneti(s and Genomi(s 4 40 20 00 . /

2 I03 Dataase 6nagement ystems 4 40 20 00 . /

2? I04 esear(h 6ethodo'ogy 4 40 20 00 . /

30 I05 ProCe(t 4 0 20 00 . P

!.* Course (istribution Chart

!.*.! 1s per Course Cateory

SN Course Cate,ory No o.Courses

CreditPoints

o. CreditPoints

Counselin,ours

o.Counselin,

ours

: asi( (ien(e 0 40 20H 40 20H

2 D: Dis(ip'ine asi( 0 40 20H 40 20H

3 D.: Dis(ip'ine .ore 0 40 20H 40 20H

4 .: pe(ia'iFation .ourses 20 0 40H ?%0 40H

% #otal %3 233 133 2433 133

!.*.& 1s per Course #ype

SN Course #ype No o.Courses

CreditPoints

o. CreditPoints

Counselin,ours

o.Counselin,

ours

/: /heoreti(a' 40 %0 0H %00 %!H

2 : ki'' ased P and P+E 0 40 20H 00 33H

$ #otal %3 233 133 2433 133

Bio-Informatics Proramme Curriculum Pae %of 14


6/14

& Syllabus

&.! Semester 0

&.!.! SBI0!

Code Course Name Pro, Sem CP CS# SS# Mar)s #ype Cat

I0 Genomi(s Dataases B 9pp'i(ations I 4 40 20 00 / .

Course Prereuisites:

asi( kno'edge aout io'ogi(a'dataases

Course Ob&ectives: 91ter su((ess1u' (omp'etion o1 this(ourse, student shou'd e a'e to

8nderstand the ro'e o1 ioin1ormati(s in thegenome seAuen(ing, assem'y, annotation andpost genomi( ana'yses 1or gene identi1i(ation,s tru(tura ' and 1un(t iona ' e 'u(idation o 1genomes, drug target identi1i(ation et(*

5emar)s6

UN Name o. Unit CP CS# +valuation Pattern rosing Genomi( esour(es 0

9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

2 Data 6ining /oo's 2 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

3 @inking Genotype to Phenotype 3 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

4 9pp'i(ations o1 Genome Data 4 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

UN etai l Sy llabus o. the Un it

Bro/sin, 0enomic 5esources6

Genome 9ssem'y o;er;ie

e'ated data resour(es &/, /, G, E et(*

Genomi( dataases at &I and N.I

Genomi( dataases 1or human, mouse, yeast and other mode' organisms

Genomi( dataases 1or p'ant, mi(roia', parasite and ;ira' genomes

.ha''enges in de;e'opment o1 genomi( dataases B resour(es

2 ata Minin, #ools6

asi( 9spe(ts o1 Genome 9nnotation

rosing genomi( data using &nsem' &IE and 6ap =ieer N.IE

Predi(tion o1 7"s and GenesJ Gene 6ode'ing,

Gene predi(tion a'gorithms 1or prokaryotes B eukaryotes

Predi(tion o1 igna' seAuen(es Promoters, Primers, sp'i(e sites, 8/s et(*E, 7perons

3 Lin)in, 0enotype to Phenotype6

uman B mouse genome: 76I6 dataase

Identi1i(ation o1 Disease Genes

@inking human genome data, 76I6 dataase and NP dataases

uerying genomi( data 1or ;arious diseases

Identi1i(ation o1 homo'ogous genes: 7rtho'ogs B Para'ogs

@inking genomi( data in the (onte#t o1 metao'i( pathays

4 *pplications o. 0enome ata6



7/14

Genome ased drug design

Genome ased ;a((ine design

6i(roarray ana'ysis B too's

Proteomi(s ana'ysis B too's

tru(tura' genomi(s

"un(tiona' genomi(s

Boo) Code #it le"*uthor"8SBN o. Ori,inal +dition

etails o.Chapters and Sections8ncluded in Syllabus

+dition9ear

Publisher"Price"Order 8t ere

#e:t Boo)s

I0-/ Prin(ip'es o1 Genome9na'ysis 9nd Genomi(s 3rd&d*E y Primrose, ** B/yman, *6*

In('uded:

('uded:'a(ke' ' Pu'ish ing

.ompany, 2003*

I0-/2 /he Genome

am * =erma

IN -5%0-043-2*

=.

5e.erence Boo)s

I0- Genome mapping andseAuen(ing y IanDunham,

oriFon, IN-

?4%-50-%*

Bio-Informatics Proramme Curriculum Pae ;of 14


8/14

&.!.& SBI0&


I02 Geneti ( In1ormation "'o andPro(essing

I 4 40 20 00 / .

Course Prereuisites: Kno'edge o1 geneti( materia' in

prokaryotes and eukaryotes


8nderstand (on(epts in gene organiFation,trans(ription, trans'ation and gene regu'ation

9ppre(iate iote(hno'ogi(a' imp'i(ations o1re(ent de;e'opments in ('oning and genomeseAuen(ing

5emar)s6

UN Name o. Unit CP CS# +valuation Pattern

Gene pression 0


2 Genes and &nFymes2 0


3 Genes N9 and Proteins3 0


4 Gene pression and 6ethods o19na'ysis

4 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

UN etail Syllabus o. the Unit

0ene +:pression6Prokaryoti( gene e#pression, operons positi;e B negati;e regu'ation, sigma1a(tors* Initiation, e'ongation and termination o1 trans(ription temp'ate B enFyme properties

2 0enes and +n


9/14

&.!.) SBI0)


I03 Programming in Per' I 4 40 20 00 / .


Kno'edge o 1 I052, I053,I0%2

Course Ob&ectives: 91ter su((ess1u' (omp'etion o1 this

(ourse, student shou'd e a'e to 8nderstand organisation o1 io'ogi(a' data in

dataases and parse data 1or pro(essing

5emar)s6


Per' Introdu(tion B Data /ypes 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

2 .ontro' tru(tures B egu'ar

pressions2 0


3 "ormats 3 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

4 ystem, Netork B D6 using Per' 4 0 9 B @9 in &nd amE and 5 6.s

in e'1-/estE i'' e asked on these units*


Perl 8ntroduction > ata #ypes6

Introdu(tion B 7;er;ie:

+hat is Per'M +hy use Per' in ioin1ormati(sM istory o1 Per', 9;ai'ai'ity, upport, asi(

.on(epts

(a'ar Data: +hat Is (a'ar DataM, Numers, trings, (a'ar 7perators, (a'ar =aria'es, (a'ar

7perators and "un(tions

9rrays and @ist Data: +hat Is a @ist or 9rrayM @itera' epresentation, =aria'es, 9rray 7perators

and "un(tions, (a'ar and @ist .onte#t

2 Control Structures > 5e,ular +:pressions6

.ontro' tru(tures: tatement 'o(ks

ashes: +hat Is a ashM ash =aria'es, @itera' epresentation o1 a ash, ash "un(tions, ash

'i(es* asi( I$7

egu'ar pressions: .on(epts 9out egu'ar pressions, imp'e 8ses o1 egu'ar pressions,

Patterns, 6ore on t he 6at(hing 7perator, ustitutions, /he sp'it and Coin "un(tions

uroutines: ystem and 8ser "un(tions, /he 'o(a' 7perator, =aria'e-'ength Parameter @ists,

Notes on @e#i(a' =aria'es

6is(e''aneous .ontro' tru(tures:

"i'ehand'es and "i'e /ests: +hat Is a "i'ehand'eM 7pening and .'osing a "i'ehand'e, 8sing

Pathnames and "i'enames, 9 'ight Di;ersion: die, 8sing "i'ehand'es, /he -# "i'e /ests, /he stat

"un(tion

3 -ormats6

+hat Is a "ormatM De1ining a "ormat, In;oking a "ormat

Dire(tory 9((ess: 6o;ing 9round the Dire(tory /ree, G'oing, Dire(tory and'es, 7pening and

.'osing a Dire(tory and'e, eading a Dire(tory and'e

"i'e and Dire(tory 6anipu'ation

Pro(ess 6anagement: 8sing system and e#e(, 8sing a(kAuotes,

7ther Data /rans1ormation: "inding a ustring, tra(ting and ep'a(ing a ustring

"ormatting Data: orting, /rans'iteration

Bio-Informatics Proramme Curriculum Pae ?of 14


10/14

4 System" Net/or) > BM usin, Perl6

ystem In1ormation: Getting 8ser and 6a(hine In1ormation, Pa(king and 8npa(king inary Data

Getting Netork In1ormation

Dataase 6anipu'ation: D6 Dataases and D6 ashes, 7pening and .'osing D6 ashes,

"i#ed-@ength andom-9((ess Dataases, =aria'e-@ength /e#tE Dataases, +in32 Dataase

Inter1a(es

.GI Programming: /he .GI*pm 6odu'e, our .GI Program in .onte#t, imp'est .GI Program,Passing Parameters ;ia .GI, Per' and the +e

7Ce(t oriented per': Introdu(tion to modu'es, .reating 7Ce(ts

ioper': Introdu(tion, Insta''ation pro(edures, 9r(hite(ture, 8ses o1 ioper'



+dition9ear


#e:t Boo)s

I03-/ eginning Per' 1or

ioin1ormati(s

>ames /isda'',

In('uded:

('uded:

7-ei''y

I03-/2 De;e'oping ioin1ormati(s.omputer ki''s

.ynthia Gias, Per

>ame(k,

7-ei''y

I03-/3 Programming the Per' DI

9'' igator Des(artes, / im

un(e,

7-ei''y

5e.erence Boo)s

I03- 9d;an(ed Per' Programming

riram rini;asan

7-ei''y



11/14

&.!.* SBI0*


I04 Protein t ru(ture Pred i(t ion B

6o'e(u'ar 6ode'ing

I 4 40 20 00 / .


Kno'edge o1 I05, I0! BI0!4


8nderstand ing the ' e;e 's o1 st ru(tureorganiFation o1 ma(romo'e(u'es and re'atedmethods o1 stru(ture determination

8nderstand and use ;arious methods o1 2D and3D stru(ture predi(tion

8nderstand t he inte ra(tion eteenma(romo'e(u'es

5emar)s6


Protein Puri.ication 0


2 @ua litative and @uanti tative+valuation o. Protein

2 0 9 B @9 in &nd amE and 5 6.sin e'1-/estE i'' e asked on these units*

3 +:plorin, proteins3 0


4 Prediction o. Protein Structure4 0



Protein Puri.ication6

asi(s o1 protein puri1i(ation, di11erentia' (entri1ugation, sa'ting out, dia'ysis, ge' 1i'tration and

ion e#(hange (hromatography, a11inity (hromatography, P@., ge' e'e(trophoresis, isoe'e(tri(

1o(using, to dimensiona' e'e(trophoresis*

2 @ualitative and @uantitative +valuation o. Protein6

8'tra(entri1ugation, 6ass spe(tros(opy 69@/DI-/7", peptide mass 1 ingerprinting, eman

degradation, protein seAuen(ing, automated soi'd phase peptide synthesis, N6r spe(tros(opy*

3 +:plorin, proteins6

Dataases:, ND B ..D

.a'(u'ation o1 (on1ormationa' energy 1or io-ma(romo'e(u'es

6o'e(u'ar 6e(hani(s B 6o'e(u'ar Dynami(s o1 7'igopeptides, Proteins, Nu('eotides and sma''

6o'e(u'es

6e(hani(s and dynami(s o1 io-ma(romo'e(u'es

imu'ation o1 mo'e(u'ar me(hani(s and dynami(s

imu'ations o1 "ree &nergy (hanges

"or(e 1ie'ds

6o'e(u'ar intera(tions o1

Protein Protein

Protein DN9

Protein (arohydrate

DN9 sma'' mo'e(u'es et(*

4 Prediction o. Protein Structure6

Predi(tion o1 e(ondary tru(ture using .hou B "asman, G7 series, PD, P6 et(*



12/14

6etaser;ers

/ertiary stru(tures o1 Proteins using homo'ogy mode'ing

&;a'uation o1 stru(ture using Pro(he(k, ProsaII et(*

Dataases B ser;ers 1or mode'ing

9pproa(hes ased on Neura'J netorks, geneti( a'gorithms B ma(hine 'earning methods

"o'd re(ognition, threading

6ethods to predi(t three dimensiona' stru(tures o1 nu('ei( a(ids, rN9

.9P, ."9P e#periments



+dition9ear


#e:t Boo)s

I04-/ Proteins: tru(ture 9nd

6o'e(u'ar Properties

.reighton, /*&*

In('uded:

('uded:

e(ond&dition

Ne ork* +* *"reeman and .ompany,??3*

I04-/2 Protein "o'ding,*

.reighton,/*

Ne ork* +* *"reeman and .ompany,??2

I04-/3 Protein stru(ture

p red i(t ion: a pra(t i(a'

approa(h, ternerg, 6*>*&*

Ne ork* +* *"reeman and .ompany,??%

I04-/4 6o'e(u'ar mode''ing:

prin(ip'es and app'i(ations

@ea(h* 9* *

5e.erence Boo)s

I04- tru(tura' ioin1ormati(s -

6ethods o 1 io(hemi(a'

9na'ysis =* 44 y Phi'ip &*

ourne &d itorE, e'ge

+eissig &ditorE

+i'ey-@iss, 2003*



13/14

&.!.+ SBI0+


I05 @a* .ourse I 4 0 20 00 P .


Kno'edge o1 'ist a'' 4 (ourses in thissem

Course Ob&ectives: 91ter su((ess1u' (omp'etion o1 this

(ourse, student shou'd e a'e to Per1orm pra(t i(a' re'ated to Genomi(

dataases, tru(tura' ioin1ormati(s, GI"P andPer'*

Special Note:tudy .enters shou'd (ondu(t any 23 activitiesout o1 tota' 24 a(ti;ities gi;en in the'ist* tudents are e#pe(ted to per1orm a'' a(ti;ities mentioned in ea(h e#periment and maintain the up-to-date Courna' and get (erti1ied 1rom the 'a instru(tor*


rosing Genomi( dataases using 6ap=ieer B ensem', ;ieing geneti(, 'inkage maps 1or

human and other mode' organisms*

2 rosing uman genome data, 76I6, NP dataases to understand geneti( and metao'i(

disorders at 'east 2 ea(h

3 rosing genomi( resour(es 1or p'ant, yeast genomes

4 rosing resour(es 1or mi(roia' and ;ira' genomes

5 6ining genomi( data to identi1y genomi( 1eatures: (odon usage, repeats, re;ersa's,

omo'ogous regions, operon stru(tures, synteni( regions, horiFonta' gene trans1er

% Gene predi(tion a'gorithms 1or Prokaryotes at 'east 2E

! Gene predi(tion a'gorithms 1or &ukaryotes at 'east 2E

tru(tura' dataases: re;ise pd, nd, ((sd,

? &;a'uation o1 3D stru(ture o1 proteins:

Pro(he(k, ama(handran p'ot, ProsaII p'ot

0 p'ore: Deri;ed dataases o1 stru(tures: DP, "P, .9/ B .7P

Predi(tion o1 se(ondary stru(tures o1 proteins: at 'east 3 methods 1or 3 proteins

2 Predi(tion o1 /ertiary stru(ture 1o proteins: iss6ode' and 6ode''er

3 p'oring metaser;ers 1or 2D and 3D stru(ture predi(tion

.a'(u'ation o1 6.. B rmsd

4 Identi1ying 1o'd o1 proteins

8se o1 threading ser;ers: Phyre et(

5 &nergy minimisation B geometry optimiFation 1or proteins B peptides

% 8sing ser;ers 1or 1un(tion annotations: &;o'utionary tra(e method et(*

! Per' assignments: !-24

"inding restri(tion ites in gi;en nu('eotide seAuen(e

"inding GI numer 1or a Gi;en 9((ession Numer

? "inding restri(tion ites in gi;en nu('eotide seAuen(e

20 eading "eature ta'e and e#tra(tion o1 seAuen(e position and 1eature in1ormation 1or

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2 .on;ersion o1 seAuen(e 1ormats

22 Parsing PD 1i'e to popu'ate ta'es in a dataase

23 "inding 6o'e(u'ar eight gi;en the 6o'e(u'ar 1ormu'ae* : .%27%

24 6aking Phy'ogeneti( tree o1 gi;en seAuen(es y using .'usta'+ and P@IP

Bio-Informatics Proramme Curriculum Pae 1$of 14


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bioinformatics semester 8th