LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

M.Sc. DEGREE EXAMINATION – BIO TECHNOLOGY

VE 43

THIRD SEMESTER – April 2009

BT 3814 – BIOSTATISTICS AND BIOINFORMATICS

 

 

 

Date & Time: 23/04/2009 / 1:00 – 4:00  Dept. No.                                                      Max. : 100 Marks

 

 

PART A  (20×1= 20)

Answer all the questions

I Choose the best answer:                                                                             (5 x 1 =5)

 

1.A cluster database which represent unique genes as mRNA and EST is

1. a) UniProt b)Unigene                   c)Swissprot     d)Homologene
2. SINES and LINES can be identified by

a)Repeat Masker         b)GenScan                c)GRAIL        d)DUST

3. A protein prediction approach that mimicks human Brain

a)ANN                                    b)GOR                                    c)ANR                        d)GNR

4. Captions and stubs are related with
5. a) rows and columns b) body and title
6. c) general and special purpose d) simple and complex
7. The shape of the normal distribution curve is
8. Flat curve b. Hump like               c. Bell shape                d. Irregular shape

 

II State whether the following True or False:                                                        (5 x 1 =5)

 

6. Month database is subset of nr which gets updated every 30 days
7. First step in Drug designing for a particular protein is to identify Lead Compound
8. GEO denotes Gene Expression Omnibus
9. The value of correlation coefficient lies always between +1 to 0.
10. Eye colour of fathers with eye colour of sons can tested by t test.

 

III Complete the following                                                                           (5 x 1 =5)

 

11. BankIt and Sequin are _______________
12. CaZy and BRENDA are ________and ________ databases respectively

13.The format in which basic information about structure of a phylogenetic tree is conveyed in a

series of nested parantheses is called___________

14. Chance of happening and not happening of an event refers to —————–.
15. ————– distribution is an approximation to binomial distributions.

 

IV Answer the following, each not exceeding 50 words.                           (5 x 1 =5)

 

16. Comment on L1 isochore.
17. Define GU-AG Rule.
18. Differentiate Phi BLAST and Psi BLAST.
19. What is ranking correlation
20. Define Null hypothesis

 

 

 

 

PART – B

Answer any 5 of the following, choose not more than 3 in each section.

Each answer not exceeding 350 words (8×5= 40 marks)

Draw diagrams / flow charts wherever necessary.

 

Section I

21.Explain signal sensors and Content sensors of Eukaryotic gene prediction tools and also list

the softwares involved..

22.Brief the Conformational parameters of secondary structure of a protein and interpretation  by

Ramachandran Plot

23.Write about Medical Databases and Genome databases and list its features

24. Discuss about Multiple Sequence Alignment and Phylogenetic Tree building methods

 

Section II

25. The lengths of 200 parasites in the human blood were measured to the nearest micron as given in the following table. Calculate the mean and standard deviations of this distributions.

Length	80-89	70-79	60-69	50-59	40-49	30-39	20-29	10-19
Frequency	2	2	6	20	56	40	42	32

 

26. Calculate the correlation coefficient between height (in inches) of father (A) and son (B) from the data given below:

A	67	64	65	69	70	74	60
B	66	67	60	68	73	70	65

 

27. Enumerate the properties of normal distribution.

 

28. Write down the test criteria for small sample inspection and explain their uses.

 

PART –  C

Answer the following, each not exceeding 1500 words.

Draw diagrams / flow charts wherever necessary (2 x 20 = 40 marks)

 

29. a)Align the following sequences using Needleman Wunsch global Algorithm

Seq 1:ACTCG

Seq 2:ACAGTAG

How dynamic programming is applied in  BLAST FASTA and other tools?

Or

29. b) Elaborate upon the various Structure Visualization tools, databases used, its features and

advantages with emphasis on Homology Modeling

 

30. (a) The following table shows the ages (X) and systolic blood pressure (Y) of 8 persons. Fit a linear regression equation of Y on X and estimate the blood pressure of a person of 70 years.

Age (X)	16	15	11	27	39	22	20
BP (Y)	24	25	34	40	35	20	23

 

30. (b) Two random samples drawn from two normal populations are:

S – 1	55	54	52	53	56	58	52	50	51	49
S – 2	108	107	105	105	106	107	104	103	104	101	105

Obtain the estimates of the variance of the two populations that have the same variance.

 

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