University Name : Berhampur University BIOINFORMATICS AND BIOSTATISTICS Question Paper
Department : M.Sc BioTechnology
Question Paper Code: Not Applicable
Exam Year : 2009
Subject Name of Question Paper: Indian Economy-II
Question Paper Description : Text Version of 2009 Berhampur University BIOINFORMATICS AND BIOSTATISTICS M.Sc Biotech University Question Paper 2009
1. Discuss briefly about input devices in a computer and computer design of molecular models.
2. Give an account of genome sequence database and its practical utility. How is DNA sequence submitted to the database?
3. Write notes on the following:
a. Gene bank
b. Macromolecular structure database
4. Describe different sequence alignment tools used for analysis of a query sequence.
5. Describe Ace DB as a tool for analyzing biological information.
6. Write notes on the following:
a. Practical aspects of multiple sequence
b. Predictive methods using protein sequence data of mice and men.
7. Give an account of different types of probability distribution.
8. Write notes on the following:
a. Mean deviation and standard deviation
b. Chi-square test
Department : M.Sc BioTechnology
Question Paper Code: Not Applicable
Exam Year : 2009
Subject Name of Question Paper: Indian Economy-II
Question Paper Description : Text Version of 2009 Berhampur University BIOINFORMATICS AND BIOSTATISTICS M.Sc Biotech University Question Paper 2009
2. Give an account of genome sequence database and its practical utility. How is DNA sequence submitted to the database?
3. Write notes on the following:
a. Gene bank
b. Macromolecular structure database
4. Describe different sequence alignment tools used for analysis of a query sequence.
5. Describe Ace DB as a tool for analyzing biological information.
6. Write notes on the following:
a. Practical aspects of multiple sequence
b. Predictive methods using protein sequence data of mice and men.
7. Give an account of different types of probability distribution.
8. Write notes on the following:
a. Mean deviation and standard deviation
b. Chi-square test
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