CREDIT INT.
MARK
| EXT.
MARK
| MARK |
V
|
11 UBO 5410
|
III
|
Core X P1
|
Practical for Core VII,
|
4
|
3
|
40
|
60
|
100
|
Core – X
PRACTICAL FOR CORE VII: TAXONOMY AND PLANT NATURAL PRODUCTS
Morphology:
-
Phyllotaxy types
-
Types of inflorescence – Raceme, Cyme, Mixed and special
-
L.S. of Dicot flower-Hypogynous/ Epigenous
-
Mounting of floral parts
-
Construction of floral diagram and floral formula.
Taxonomy:
-
Detailed of study of the plants belonging to the families mentioned in theory.
-
Submission of 20 Herbarium specimens.
-
Botanical tour and submission of field report.
Plant natural products
-
Identification of specimens related to plant natural products and economically important species taught in Taxonomy.
SEM
|
SUBJECT CODE
|
PART
|
COURSE
|
SUBJECT TITLE
|
HRS/ WEEK
| CREDIT | INT.
MARK
| EXT.
MARK
| MARK |
V
|
11 UBO 5410
|
III
|
Core X P1
|
Practical for Core VIII & IX,
|
3
|
3
|
20
|
30
|
50
|
Genetics and Evolution
-
Working out problems related to Genetics theory
-
Identification of the Era to which the fossil form belongs to.
Biotechnology and rDNA technology
-
Isolation of plant genomic DNA (Demonstration only).
-
Isolation of plasmid DNA (Demonstration only).
-
Agarose Gel Electrophoresis (Demonstration only).
-
Construction of plasmid vector restriction map.
SEM
|
SUBJECT CODE
|
PART
|
COURSE
|
SUBJECT TITLE
|
HRS/ WEEK
| CREDIT | INT.
MARK
| EXT.
MARK
| MARK |
IV
|
11 UBO 5501
|
III
|
MBE-I
|
Biostatistics and Bioinformatics
|
4
|
5
|
25
|
75
|
100
|
Major Based Elective - I
BIOSTATISTICS AND BIOINFORMATICS
Unit 1: Biostatistics – Definition - sampling techniques – data – types, collection, approximation, classification and tabulation - logarithms. - Frequency distribution – Diagrammatic and graphical representation of data (Line, Bar, Histogram, Frequency Polygon, Curve, Pie chart).
Unit 2: Measures of central tendency – mean, median and mode - Measures of dispersion – range, variance, standard deviation – Theories of probability – Students t-test, chi square test for goodness of fit - statistical error (definition and types only).
Unit-3 Bioinformatics - an overview - definition and history; Internet in bioinformatics; Biological databases: sequence database - nucleic acid and protein database. Online tools for Botanical identification of plants (brief introduction to BIOTIK, MANGROVE)
Unit 4: Structure database – PDB; specialized database, literature database; file formats of genbank, Swissprot, PDB, NCBI data model, data retrieval using entrez.
Unit-5 Biological Sequence analysis - Pair wise sequence comparison - Sequence queries against biological databases - BLAST and FASTA - Multiple sequence alignments - Phylogenetic alignment. Protein structure visualization tools - RasMol, Swiss PDB Viewer.
BOOKS FOR STUDY:
Biostatistics
-
Khan, I.A. and Khanum, A. Fundamentals of Biostatistics. Vikas Publications, Hyderabad (1994).
-
Plalanichamy, S. and Manoharan, M. Statistical Methods for Biologists, Paramount Publications, Palani (1990).
-
Akash saxena, Sunil Chauhan and Kratika Gupta (2006). Fundamentals of Computer. Laxmi publications.
-
Alexis Leon, M.Leon, 2000, Fundamentals of Computer Science & Communication / Engineering, Leon Tech World, Chennai.
Bioinformatics
-
Attwood, T.K. and D.J. Parry-Smith, Introduction to Bioinformatics, Pearson Education Ltd., New Delhi (2004).
-
Lesk, Arthur M. An introduction to Bioinformatics, Second edition, Oxford University Press. New Delhi (2006).Mani, K. and N. Viyaraj, Bioinformatics for beginners, Kalaikathir Achchagam, Coimbatore, India (2002).
-
Murthy, C. S. V. Bioinformatics. Himalaya publishing House, Mumbai. (2003)
SEM
|
SUBJECT CODE
|
PART
|
COURSE
|
SUBJECT TITLE
|
HRS/ WEEK
| | |
Yüklə 0.7 Mb.