LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
M.Sc. DEGREE EXAMINATION – BIO TECHNOLOGY
SUPPLEMENTARY EXAMINATION – JUNE 2007
BT 3814 - BIOSTATISTICS AND BIOINFORMATICS
Date & Time: 27/06/2007 / 9:00 - 12:00
Dept. No.
Max. : 100 Marks
PART A
Answer all the following questions
(20 marks)
I. Choose the correct answer
(5 x 1 = 5 )
1. OMIM is a _________ database.
a) disease b) metabolic pathways c) gene
d) protein
2. BLOSUM is _________.
a) scoring matrix
b) prediction tool
c) algorithm
d) smithwaterman algorithm
3. _________ is used for database searching.
a) fasta
b) PAM
c) clustalw
d) PDB
4. The central value of the variable in a set of observations arranged in ascending or
descending order is
a. Mean b. Median
c. Mode
d. Variance
5. Uncertainty is numerically expressed as
a. Binomial distribution
c. Normal distribution
b. Poison distribution
d. Frequency distribution
II. State whether the following statements are True or False
6.
(5 x 1 = 5 )
GC% is high near gene regions.
7. Blocks is a protein secondary database.
8. CATH is a secondary structure prediction tool.
9. Amount of rainfall and yield of crop is a negative correlation.
10. Pie diagram is a semi-circular graph whose area is subdivided into sectors by radii.
III. Complete the following
(5 x 1 = 5)
11. _________ is the algorithm used for local alignment.
12. Restriction sites can be identified using _________.
13. ------------------ are measurable characteristics which can be numerically expressed in
terms of units.
14. ------------- is used to compare an observed ratio with an expected ratio.
15. The value in a series which occurs most frequently is -----------------.
IV. Answer the following, each within 50 words..
(5 x 1 = 5)
16. scoring matrix.
17. back translation
18. Co-efficient of variation
19. Kurtosis
20. Regression curve
PART B
Answer any FIVE of the following, each not exceeding 350 words. Choose not more than
three in each section.
(5 x 8 = 40)
Section - I
21. Explain BLAST and its applications.
22. Explain GC% and the software for the prediction of CpG islands.
23. Discuss the steps in the smithwaterman algorithm for local alignment.
24. Discuss the rules in a pattern.
Section - II
25. Calculate the arithmetic mean and standard error for the following data.
Class interval 10 – 20
Frequency
3
20 -30
5
30-40
10
40-50
15
50-60
5
60-70
12
26. Calculate the correlation coefficient between X and Y for the following data.
X
Y
1
10
2
11
3
12
4
14
5
13
6
15
7
16
8
17
9
18
27. In a cross between black and white coat coloured mice, the F2 indvidual segregated
into 787 black and 277 white coat coloured individuals. If you have to test these
results agree with the expected ratio 3 : 1, then apply chi square P = 5%.
28. Bring out the salient features of normal distribution.
PART C
Answer any two of the questions in about 1500 words. Draw necessary diagrams
(2 x 20 = 40)
29. a) Explain the procedure for multiple sequence alignment and its applications and output
format.
OR
b) Discuss the procedures for the discovery of a drug. .
30. (a) In order to find the effect of Azolla growth on the rice field and experimentally
grown Azolla in 10 similar field plots before rice planting and other 10 similar
plots were taken as control without Azolla growth. Rice was grown in all these
plots and yields were noted.
Plot
1
No.
With
15.3
Azolla
Without 14.5
Azolla
2
3
4
5
6
7
8
9
10
15.8
16.1
17.0
15.5
16.5
16.2
15.5
17.1
16.3
13.8
15.9
13.9
14.8
14.9
15.2
15.0
14.1
13.7
(b) The following data give the yields on 12 plots of land in three samples under three
varieties of fertilizers.
A
B
C
25
20
24
22
17
26
24
16
30
21
19
20
Is there any significant difference in the average yields of land under the three varieties of
fertilizers?
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