Description
M.Sc. (Zoology) Programme
(MSCZOO)
Biostatistics and Bioinformatics
Valid from 1st January, 2025 to 31st December, 2025
ASSIGNMENT
Course Code: MZO-006
Assignment Code: MZO-006/TMA/2025
Note: Attempt all questions. The marks for each question are indicated against it.
- a) Define the term “arithmetic mean”. Discuss how to calculate it for ungrouped data using the direct method.
- b) What is dispersion, and explain its importance in statistical analysis.
- Differentiate between the following pairs of terms:
a). Geometric mean and Harmonic mean
b)Positive Correlation and Negative Correlation
- c) Global alignment and Local alignment
- d) PAM and BLOSUM
3.Write short notes on the following:
- a) Importance of hypothesis testing
- b) Poisson distribution
- c) Artificial Neural Network for protein prediction
- d) Significance of sequence alignment
4.a) Explain the importance of nucleotide databases in molecular biology and bioinformatics.
- b) What is the FASTA file format, and how is it structured?
5.Elaborate on the principles of classification, which include class limits, class intervals, range and class frequency and explain how these things are applied in biostatistical data analysis.
6.a) Explain how the C /C++ programming languages are used in BLAST and SAMTools.
- b) Discuss the significance of RNA secondary structure prediction and compare the tools Mfold and RNAfold.
7.a) What is the p-value, and how is it used in hypothesis testing?
- b) Define the term “Binomial distribution”. Discuss with a suitable example.
8.a) Discuss the advantages and disadvantages of Spearman’s rank correlation coefficient.
- b) Discuss the merits and demerits of standard deviation compared to variance.
- a) Explain the steps involved in bootstrap analysis with an example.
- b) Describe the steps for predicting β-sheets using the Chou-Fasman method.
- What is the principle of microarray? Describe the steps involved in designing a microarray, including probe design, array fabrication, sample labeling, hybridisation and scanning.






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