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MZO 006: Biostatistics and Bioinformatics

Title Name IGNOU MZO 006 SOLVED ASSIGNMENT
Type Soft Copy (E-Assignment) .pdf
University IGNOU
Degree MASTER DEGREE PROGRAMMES
Course Code MSCZOO
Course Name Master of Science (Zoology)
Subject Code MZO 006
Subject Name Biostatistics and Bioinformatics
Year 2026
Session -
Language English Medium
Assignment Code MZO 006/Assignment-1/2026
Product Description Assignment of MSCZOO (Master of Science (Zoology)) 2026. Latest MZO 006 2026 Solved Assignment Solutions
Last Date of IGNOU Assignment Submission Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam).

Semester Wise
January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam).
July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam).
FormatReady-to-Print PDF (.soft copy)

📅 Important Submission Dates

  • January 2026 Session: 31st March, 2026
  • July 2026 Session: 30th September, 2026

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MZO 006 2025 - English

ASSIGNMENT

Course Code: MZO-006

Assignment Code: MZO-006/TMA/2025

Maximum Marks: 100

Note: Attempt all questions. The marks for each question are indicated against it.

1. 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.

2. 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.

9.

a) Explain the steps involved in bootstrap analysis with an example.

b) Describe the steps for predicting ẞ-sheets using the Chou-Fasman method.

10. What is the principle of microarray? Describe the steps involved in designing a microarray, including probe design, array fabrication, sample labeling, hybridisation and scanning.


MZO 006 (January 2026 - July 2026) - ENGLISH

ASSIGNMENT

Course Code: MZO-006

Assignment Code: MZO-006/TMA/2026

Maximum Marks: 100

Note: Attempt all questions. The marks for each question are indicated against it.

Part I (Biostatistics)

1.

a) Describe the limitations and importance of biostatistics.

b) Explain the benefits and drawbacks of variance and standard deviation.

2.

a) What do you understand by Median and Mode? Discuss with suitable examples.

b) What is regression analysis? Give a short note on linear regression analysis.

3.

a) Comment on the basic concept of probability.

b) Definition of the F-test formula.

4.

a) Write the application of the chi-square test with an example.

b) Describe the theorems of probability.

5.

a) Explain Poisson distribution with an appropriate example.

b) Write in detail about 'Critical Region'.

6.

a) Calculate standard deviation and its coefficient from the following data:

Marks out of 10 0–2 2–4 4–6 6–8 8–10
No. of Students 2 5 15 7 1

b) Calculate median from the following distribution.

Class 20–24 25–29 30–34 35–39
Frequency 3 5 10 20
Class 40–44 45–49 50–54 55–59
Frequency 12 6 3 1

Part II (Bioinformatics)

7.

a) What do you understand by database? Explain primary, secondary and composite databases.

b) What do you understand by Multiple Sequence Alignment (MSA)?

8.

a) Explain the various approaches used in pairwise sequence alignment.

b) Explain the significant steps involved in the process of homology modeling.

9.

a) How do mass spectrometry techniques like HDX-MS and CX-MS contribute to molecular modeling?

b) Define the term ‘Omics’? Discuss their types and importance in modern biological research.

10.

a) Discuss the importance of C and C++ programming languages in bioinformatics.

b) Briefly explain the molecular clock hypothesis.

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