M. Sc. (Bioinformatics) (Semester (CBCS) Examination, 2017
ADVANCED BIOINFORAMTICS wateriI
Day Date: Wednesday, 19-04-2017 Max. Marks: 70
Time: 10.30 AM to 01.00 PM
N.B. Part-I, Question 1 is compulsory.
Attempt any Four questions from part-II.
Figures to the right indicate full marks.
Answers to the Part-I and -II are to be written in
same answer booklet only.
Section-I
Q.1 Rewrite the sentence after choosing the correct from the
given alternatives.
07
illustrate the relatedness of the leaf nodes without
making assumptions about ancestry at all.
Super trees Rooted trees
Unrooted trees Both b and c
MP in phylogenetic refers to
Multiple Parsimony Maxim Parsimony
Maximum Parsimony Maximum Phylogeny
PubMed and Medline library databases.
Visual Library Vertebral Library
Virtual Library All of these
is a tool in EMBOSS which gives protein statistics
Showfeat Infoseq Pepstat None of these
The PAM matrices were introduced
Margeret Dayhoff Henikoff and Henikoff
Feng and Doolittle None of these
PAUP stands
Protein Analysis Using Proteomics
Phylogenetic Analysis Using Parsimony
Phylip Analysis Using Parsimony
None of these
BLOSUM stands for
Block Substitute Matrix
Block Substitution Matrix
Block Substituent Matrix
None of these
Page 1 of 2
SLR-RC 80
Definition 07
ExPASy
KEGG
PDB
PSI BLAST
BankIt
gap penalty
alpha helix
Section-II
Answer any four the following
Q.2 Explain EMBOSS and its utilities and add a note on for what purpose
EMBOSS is use?
14
Q.3 What is pairwise sequence alignment? Give a detailed description of
Smith-Waterman algorithm?
14
Q4 Explain different type's identification of SNPs methods and a details
account on SNP database
14
Q5 Answer any two from the following 14
Explain protein arrays, its basic principles and applications.
Explain MUMmer and suffix tree and add a note on comparative
genomics.
Write a detailed note on Maximum parsimony method.
Q.6 Write short notes on (any two) 14
Phylip
Gene prediction in Prokaryotes
KEGG