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Page 1: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis
Page 2: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis
Page 3: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis

Center of Advanced Faculty Training on

Advance Statistical Analysis of Breeding Data

Date: 27-08-2019 to 16-09-2019

Division of Statistical Genetics

ICAR-Indian Agricultural Statistics Research Institute

PUSA, Library Avenue, New Delhi -12

www.iasri.res.in

Course Coordinator: Dr. Amrit Kumar Paul

Course Co-Coordinator Dr. Ranjit Kumar Paul

Course Co-Coordinator: Dr. Himadri Shekhar Roy

Sponsored by-

Agricultural Education Division

Indian Council of Agriculture Research

New Delhi-110012

IntroductionStatistical genetics plays an important role in agriculture and allied

sectors for analyzing large number of datasets generated from

biological fields and laboratories. From few decades, due to rapid

progress in field and laboratory techniques, generation of biological

data is increasing day by day. The use of statistical techniques for

analyzing the ever increasing biological data becomes very crucial to

obtain biological insights in to the biological system under

investigation. Availability of high performance computing facilities and

available of various open source software like R, python etc. made it

possible to handle and analyze such huge amount of data generated

from genetic and genomic studies.

Therefore, the current need is to train the researchers across the

National Agricultural Research and Education System and sensitize

them with recent analytical techniques used in statistical genetics and

genomics to make their research globally competitive. This training

programme has been planned to accommodate the needs of both theory

and applications of statistical genetics. Moreover, the software like R,

SAS, SPAR etc. are playing major roles to analyse such data emerged

from agricultural experiments, genetics and genomics projects. Keeping

this in view, the present CAFT on “Advance Statistical Analysis of

Breeding Data” is being proposed with the following objectives:

Objectivei. To provide advanced training to the participants on the current

development in Statistical genetics to upgrade their research

skills.

ii. To train researchers in handling and analyzing Genetic and

Genomic data..

iii. To provide basic idea about statistics and using of statistical tools

for their research and enhanced teaching capabilities of the

participants.

iv. To sensitize the participants with the available open source and

other software used in Genetics and Genomics data analysis

No of Participants: 25

Last Date for Receipt of Applications: July 15, 2019

Page 4: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis

Course content

Module-I: Statistical Techniques

Statistical methods and inference

Testing of hypothesis

Correlation and Regression

Multivariate Analysis

Linear and non-linear Models

Design of Experiments

Time Series Analysis

Module-IV: Statistical Genomics

Genome Wide Association Study (GWAS)

Phylogenetic Analysis

Feature Selection in Genomics

Linkage Analysis

QTL Analysis

Biological Sequence Analysis

Machine Learning Techniques for Analysis of

High Dimensional „Omics‟ Data

Analysis of Microarray Data

Next Generation Sequencing Data Analysis

Genomic Selection and Prediction

Module-II: Statistical Packages

MS-Excel

SAS

R and R Studio

SPAR

Open source software for genetic and

genomic data analysis

Page 5: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis

Application Form

CAFT

on

“Advance Statistical Analysis of Breeding Data”

27-08-2019 to 16-09-2019

About ICAR-IASRI

ICAR-IASRI is a premier Institute, established in 1959, mainly

responsible for conducting research and imparting education/ training in

the field of Agricultural Statistics, Computer Applications and

Bioinformatics. There are six divisions in the Institute and the Institute is

equipped with the modern facilities.

Computing facilities

The Institute has several computer laboratories well equipped with latest

hardware and software packages along with modern teaching aids.

Library

The e-library has rich collection of books and journals on Statistics,

Statistical Genetics, Bioinformatics and other related disciplines

including on-line journals and bibliographic databases.

Guest House

The Institute has a guest house with modest facilities to cater to the

needs of the participants.

Eligibility

Master’s Degree in any discipline of Agricultural sciences/Animal

sciences/ Fishery sciences/ statistics /Computer application.

Working in a position not below the rank of Scientist/Assistant

Professor in ICAR Institute.

Working knowledge of Statistics and Computer.

General Information

Interested personnel fulfilling the eligibility conditions may apply

through proper channel (by filling the online application form through

CBP Vortal available at http://iasri.res.in/cbp). The participants will be

paid for the journey, to and fro, restricted to AC-II train fare (Except

Rajdhani and Shatabdi) or bus or any other means of transport in vogue,

as the case may be. Free boarding and lodging will be provided to the

participants during the training programme. The participants are advised

not to bring family members with them. Those who are interested to

travel by Air they should book the ticket from Air India official site.

1. Full Name:

2. Designation:

3. Present Employer and address:

4. Correspondence Address:

5. Permanent Address along with Contact Details (Emails, Telephone,

Mobile, etc.):

6. Date of Birth:

7. Sex (M/F):

8. Teaching/Research/Professional Experience (for last five years):

9. Marital Status:

10. Mention earlier attended any training programs (for last five years):

11. Academic Record (After Graduation or equivalent level)

12. Discipline:

13. Level of knowledge in Statistics and Computers:

(Signature of the Applicant with Date)

14. Recommendations of the forwarding Institute:

(Signature of the Forwarding Authority with Seal and Date)

Certificate: It is certified that the information furnished above is correct.

Traveling allowances will be paid / not paid by this office.

(Signature of the Sponsoring Authority with Seal and Date)

All correspondence may be addressed to:

1. Dr. Lal Mohan Bhar, Director (A), ICAR-IASRI, New Delhi-12

E-mail: [email protected] Phone: 011-25841479, Fax: 011-25841564

2. Dr. Amrit Kumar Paul,, Course Coordinator, ICAR-IASRI, New Delhi-12

E-mail: [email protected] Phone: +91 9818018731

3. Dr. Ranjit Kumar Paul, Course Co-Coordinator, ICAR-IASRI, New Delhi-12

E-mail: [email protected] Phone: +91 8287778896

4. Dr. Himadri Shekhar Roy, Course Co-Coordinator, ICAR-IASRI, New Delhi-12

E-mail: [email protected] Phone :+91 9013846158

Page 6: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis

mPp ladk; Áf’k{k.k dsUæ ds varxZr

Ikztuu vk¡dM+ksa dk fodflr lkaf[;dh; fo’ys"k.k

27-08-2019 ls 16-09-2019

परायोजक पराधधकरण:

d`f"k धिकषा धिभाग

भारतीय कधि अनसधान पररिद

ubZ fnYyh-110012

ikB~;Øe la;kstd: MkW- ve`r dqekj ikWy

ikB~;Øe lg-la;kstd: MkW- jaftr dqekj ikWy

ikB~;Øe lg-la;kstd: MkW- fgekfæ ’ks[kj jk;

izf’k{k.kkFkhZ% 25

izLrqr le; lhek% 15 tqykbZ]2019

lkaf[;dh; vkuqoaf’kdh ÁHkkx भा.क.अन.प. - भारतीय कधि साधययकी अनसधान ससथान,

लाइबररी एिनय, पसा

नई ददलली -110 012 http://www.iasri.res.in

izLrkouk d`f"k vkSj lac) {ks=ksa esa tSfod {ks=ksa vkSj

ç;ksx'kkykvksa ls mRiUu cM+h la[;k esa MsVk lsV dk

fo'ys"k.k djus essa fy, lkaf[;dh; vkuqoaf'kdh dk

egRoiw.kZ ;ksxnku gSA dqN n'kdksa ls] bl {ks= esa

vkSj ç;ksx'kkyk rduhdksa esa rsth ls çxfr ds

dkj.k] tSfod MsVk dh mRifr çfrfnu c<+ jgh gSA

tkap ds rgr tSfod ç.kkyh esa tSfod var–Zf"V

çkIr djus ds fy, yxkrkj c<+rs tSfod MsVk dk

fo'ys"k.k djus ds fy, lkaf[;dh; rduhdksa dk

mi;ksx cgqr egRoiw.kZ gks tkrk gSA mPp fu"ikfnr

daI;wfVax lqfo/kkvksa dh miyC/krk vkSj vkj] ik;Fku

bR;kfn tSls fofHkUu vksiu lkslZ l‚¶Vos;j ds

miyC/k gksus ls tsusfVd vkSj thuksfed v/;;uksa ls

mRiUu MsVk dh bruh cM+h ek=k dk iz;ksx vkSj

fo'ys"k.k djuk laHko gks x;kA

blfy,] orZeku —f"k 'kks/kdrkZvksa dks jk"Vªh; —f"k

vuqla/kku vkSj f'k{kk ç.kkyh esa çf'kf{kr djus dh

vko’;drk gS vkSj mUgsa oSf'od vkuqoaf'kd :Ik ls

çfrLi/khZ cukus ds fy, lkaf[;dh; vkuqoaf'kdh vkSj

thuksfeDl esa mi;ksx dh tkus okyh vk/kqfud

fo'ys"k.kkRed rduhdksa ds lkFk izfr;ksxh cukuk

gSA bl çf'k{k.k dk;ZØe esa lkaf[;dh; vkuqoaf'kdh

ds fl)karksa vkSj vuqç;ksxksa dk lek;kstu fd;k

x;k gSA bl ds vykok] d`f"k iz;ksxksa] tsusfVDl

vkSj thuksfeDl ifj;kstukvksa ds vk¡dM+ksa dk

fo’ys"k.k djus esa vkj] ,l , ,l] ,l ih , vkj]

bR;kfn lkW¶Vos;j dh vge Hkwfedk gSA bls /;ku

esa j[krs gq,] lh,,QVh ds varxZr ^^Ikztuu vk¡dM+ksa

dk fodflr lkaf[;dh; fo’ys"k.k^^ ij fuEufyf[kr

mís';ksa dks lfEefyr fd;k x;k gSA

उददशय

vius 'kks/k dk;Z dk mUu;u djus ds fy, lkaf[;dh;

vkuqoaf'kdh esa orZeku fodkl ij çfrHkkfx;ks adks mUur

çf'k{k.k çnku djukA

tsusfVd vkSj thuksfed MsVk dks iz;ksx vkSj fo'ys"k.k djus

esa 'kks/kdrkZvksa dks çf'kf{kr djukA

mUur f'k{k.k vkSj 'kks/k ds fy, lkaf[;dh; fof/k;ksa vkSj

muds iz;ksx ls çfrHkkfx;ksa dks ifjfpr djokukA

miyC/k vksiu lkslZ vkSj vkuqoaf'kdh vkSj thuksfeDl MsVk

fo'ys"k.k esa mi;ksx fd, tkus okys vU; l‚¶Vos;j ls

voxr djkukA

अधययन धििय िसत

ikBîØe esa O;k[;ku vkSj daI;wVj vk/kkfjr ç;ksx ds lkFk

lkaf[;dh; l‚¶Vos;j iSdst ds çn'kZu dks 'kkfey fd;k x;k gSA

igys ls lHkh çfrHkkfx;ksa dks v/;;u lkexzh ds :I esa ikBîØe

lkexzh çnku dh tk,xhA mUgsa vius vuqHkoksa vkSj muds {ks=ksa esa

vkus okyh leL;kvksa dks is'k djus dk volj Hkh fn;k tk,xkA

çfrHkkxh vius 'kks/k dk;ksaZ ls vius Lo;a ds MsVk lsV yk ldrs

gSa] rkfd çf'k{k.k dk;ZØe ds nkSjku bldk fo'ys"k.k fd;k tk

ldsA

मॉडयल 1: lkaf[;dh; rduhdsa

lkaf[;dh; fof/k;k¡ vkSj fu"d"kZ

dkWjys’ku jfxz’ku fo’ys"k.k

ifjdYiukdkijh{k.k

cgqfodYih; MsVk fo’ys"k.k

jSf[kd vkSj vjSf[kd ekWMy fo’ys"k.k

Áf’k{k.kvfHkdYiuk

Dky&Jza[kyk fo’ys"k.k

मॉडयल 2: lkaf[;dh; lkW¶Vos;j

,e ,l&,sDly

,l , ,l Vkj vkSj vkj LVwfM;ks

,l ih , vkj tsusfVDl vkSj thuksfeDl MsVk fo’ys"k.k ds fy, vksiu

lkslZ lkW¶Vos;j

Page 7: Center of Advanced Faculty Trainingapps.iasri.res.in/training/2019/Brochure_caft_training... · 2019. 6. 1. · Center of Advanced Faculty Training on Advance Statistical Analysis

मॉडयल 3: lkaf[;dh; vkuqoaf’kdh

Ekk=kRed vkSj tula[;k vkuqoaf’kdh

eSfVax fMt+kbu vkSj iztuu MsVk dk fo’ys"k.k

vkuqoaf’kd izkpyksa dk vkdyu

iztuu eku dk vkdyu

ikFk fo’ys"k.k

fLFkjrk fo’ys"k.k vkSj thbZvkbZ/,,e,evkbZ ekWMYl

vkuqoaf’kd p;u lwpdkad

ek=kRed vkuqoaf’kdh esa fefJr ekWMy

ykbu VsLVj fo’ys"k.k

Mk;yy vkSj vkaf’kd Mk;yy fo’ys"k.k

मॉडयल 4: lkaf[;dh; thuksfeDl

1- Tkhsukse okbM ,lksfl,’ku v/;;u(thMCy;w,,l) 2- Oka’kkoyh fo’ys"k.k

3- TkhuksfeDl esa Qhpj p;u

4- fyadst fo’ys"k.k

5- D;wVh,y fo’ys"k.k

6- tSfod vuqØe fo’ys"k.k

7- mPpvk;keh ‘vksfeDl’ MsVk ds fo’ys"k.k

ds fy, e’khu yjfuax rduhds

8- ekbØks,js vk¡dM+ksa dk fo’ys"k.k

9- vxyh ih<+h vuqØfer MsVk fo’ys"k.k

10- Tkhuksfed p;u vkSj iwokZuqeku

HkkŒ—ŒvŒiŒ&HkkŒ—ŒlkaŒvŒlaŒ HkkŒ—ŒvŒiŒ&HkkŒ—ŒlkaŒvŒlaŒ ,d çeq[k laLFkku gS

ftldh LFkkiuk 1959 esa gwbZ FkhA ;gk¡ eq[; :i ls —f"k

lkaf[;dh] dEI;wVj ,Iyhds'ku vkSj ck;ks&buQ‚jeSfVDl

ds {ks= esa f'k{kk/ çf'k{k.k çnku djus vkSj çf'k{k.k fn;k

tkrk gSA laLFkku esa N: çHkkx gSa rFkk laLFkku vk/kqfud

lqfo/kkvks als lqlfTtr gSA

daI;wfVax lqfo/kk,a : laLFkku esa db ZdaI;wVj ç;ksx'kkyk, agSa

tks vk/kqfud f'k{k.k esa ennxkj lkexzh ds lkFk uohure

gkMZos;j vkSj l‚¶Vos;j iSdst ls lqlfTtr gSA

iqLrdky;: bZ&iqLrdky; esa lkaf[;dh] daI;wVj foKku]

ck;ks&buQ‚jeSfVDl vkSj vU; lacaf/kr fo"k;ksa ij

v‚u&ykbu if=dkvksa vkSj xzaFk lwph MsVk csl lfgr

iqLrdks avkSj if=dkvksa dk le) laxzg gSA

vfrfFk xg: çfrHkkfx;ksa dh t:jrksa dks iwjk djus ds fy,

laLFkku ds cqfu;knh lqfo/kkvksa ds lkFk ,d vfrfFk xg gSA

पातरता

—f"k foKku @ i'kq foKku @ eRL; foKku @lkaf[;dh@

daI;wVj vuqç;ksx ds fdlh Hkh fo"k; esa Lukrdksrj fMxzhA

Hkk-d`-vuq-i- ds laLFkku vFkok jkT; df"k fo’ofo|ky;@

dsanzh; df"k fo’ofo|ky; esa de ls de oSKkfud@lgk;d

çksQslj ds in ij fu;qä gksA lkaf[;dh vkSj daI;wVj dk dk;Z KkuA

आिदन परपतर lh , ,Q Vh

Ikztuu vk¡dM+ksa dk fodflr lkaf[;dh; fo’ys"k.k 27-08-2019 ls 16-09-2019

1- iwjk uke 2- inuke 3- fu;ksäk orZeku dk irk

4- i=kpkj ds fy, irk

5- LFkk;h irk] (bZ&esy] VsyhQksu uacj] eksc)

6- tUe frfFk

7- fyax ¼iq#"k / efgyk½

8- f’k{k.k@vuqla/kku@izksQs’kuy vuqHko (fiNys ik¡p o"kZ)

9. oSokfgd fLFkfr

10- fiNys ik¡p o"kZ ds nkSjku çf'k{k.k dk;ZØeksa esa Hkkxhnkjh

¼fooj.k½

11- ’kS{kf.kd fjdkWMZ (LukRd Lrj ls vkxs) 12- fMlfIyu

13- lkaf[;dh vkSj daI;wVj vuqç;ksx esa Kku dk Lrj

vkosnd ds frfFk ds lkFk gLrk{kj

14- vxsz"k.k laLFkku dh laLrqfr

çek.ki=

çekf.kr fd;k tkrk gS fd mijksä tkudkjh lgh gSA ;k=k

HkÙks dk Hkqxrku bl dk;kZy; }kjk fn;k tk,xk@ ugha fn;k

tk,xkA

vxzs{k.k izf/kdkjh ds frfFk rFkk eksgj lfgr gLrk{kj

iz;kstd izf/kdkjh ds frfFk rFkk eksgj lfgr gLrk{kj

Ukkekadu ik=rk 'krksaZ dks iwjk djus okys bPNqd dehZ mfpr ek/;e

ls vkosnu dj ldrs gSa ¼miyC/k lhchih oksVZy

http://iasri.res.in/cbp ds ek/;e ls v‚uykbu

vkosnu djsa½A

çfrHkkfx;ksa dks vkus tkus dh ;k=k ds fy, Hkqxrku fd;k

tk,xk] Vªsu fdjk;k ,lh&f}rh; ¼jkt/kuh vkSj 'krkCnh

dks NksM+dj½ rd lhfer gS] cl ;k çpyu esa ifjogu ds

fdlh vU; lk/ku] tSlk fd ekeyk gks ldrk gSA

çf'k{k.k dk;ZØe ds nkSjku çfrHkkfx;ksa dks fu%'kqYd

cksfMaZx vkSj y‚ftax çnku dh tk,xhA çfrHkkfx;ksa dks lykg nh tkrh gS fd os ifjokj ds

lnL;ksa dks viuss lkFk uk yk,¡A ;fn ok;q;ku ls vkuk gS

rks ,vj bafM;k dh vfQ’kWy lkbV ls fVdV cqd djk;sA —i;k fuEufyf[kr esa ls fdlh ,d dks iw.kZ :i ls Hkjdj vkosnu i= Hkstsa:

MkW- yky eksgu Hkj] funs'kd (dk), çHkkxk/;{k (lkaf[;dh; vkuqoaf’kdh) Hkk-—-vuq-i-& Hkk-—-lka-vuq-la-] ubZ fnYyh

bZ&esy: [email protected]

VsyhQksu: 011-25841479

QSDl: 011-25841564

MkW- ve`r dqekj ikWy] çeq[k oSKkfud

ikB~;Øe la;kstd

bZ&esy% [email protected]

eksc: +91-9818018731

MkW- jaftr dqekj ikWy] oSKkfud

ikB~;Øe lg-la;kstd Hkk-—-vuq-i-& Hkk-—-lka-vuq-la-] ubZ fnYyh

bZ&esy: [email protected],

eksc: +91-8287778896

MkW- fgekfnz ’ks[kj jk;] oSKkfud

ikB~;Øe lg-la;kstd Hkk-—-vuq-i-& Hkk-—-lka-vuq-la-] ubZ fnYyh

bZ&esy: [email protected],

eksc: +91-9013846158