Exam Details

Subject biostatistics and bioinformatics
Paper
Exam / Course m.sc. biotechnology
Department
Organization solapur university
Position
Exam Date November, 2016
City, State maharashtra, solapur


Question Paper

Master of Science I (Biotechnology) Examination: Oct Nov 2016
Semester I (Old CBCS)
SLR No. Day
Date Time Subject Name Paper
No. Seat No.
SLR SK
101
Wednesday
23/11/2016
10.30 AM
to
01.00 PM
Biostatistics
Bioinformatics
C
IV
es Instructions: Part- I Question 1 is compulsory.
Answer any four questions from Part-II
Figures to the right indicate full marks.
Answer the Part-I and Part- II are to be written in same
answer Booklet only.
Total Marks: 70
Part- I
Q.1 Rewrite the following sentences by selecting correct answers from given
alternative.
07
is one of the protein information resource.
NCBI PIR
DDBJ EBI
The primary database of protein is
Swiss prot TrEmbl
Both a b None
BLAST is sequence alignment tool
Multiple pairwise
both b None
is one of the homology modeling method
Parsimony likelihood
neighbor joining All
A set all possible data values for a subject under consideration is called

descriptive statistics a sample
a population statistics
The number of occurrences of a data value is called
The class limits The frequency
The cumulative frequency Ogive
An organization of observed data into tabular form in which classes and
frequencies are used is called
the bar chart the pie chart
the histogram frequency polygon
Page 1 of 2
Definitions: 07
Genome
MSA
Global alignment
Constant
Mean
Histogram
Population
Section-II
Answer any four of the following.
Q.2 Write a note on nucleotide sequence databases. 14
Q.3 Add a note on methods of sequence alignment. 14
Q.4 Define table. Explain the components of table. 14
Q.5 Answer any TWO of the following: 14
Write a note on composite databases.
Add a note on homology modeling.
Obtain median for the following data
Marks 20 9 25 50 80 40
No. of students 6 4 16 7 2 8
Q.6 Write shorts note on any TWO of the following: 14
Application of phylogenetic
Advantages disadvantages of standard deviation
Types of distribution in probability.


Subjects

  • advanced analytical techniques
  • advanced pharmaceuticals
  • agriculture science and seed technology (oet)
  • animal biotechnology and stem cell technology
  • biostatistics and bioinformatics
  • cell biology
  • computational structure biology and drug designing
  • concept of biochemistry
  • enzyme technology
  • genetic engineering
  • immunology and immuno techniques (oet)
  • industrial and environmental biotechnology
  • inheritance biology
  • medical biotechnology and bio-nanotechnology
  • microbiology
  • molecular cell processing
  • molecular medicine
  • plant biotechnology
  • research methodology and ipr