402 : BIOSTATISTICS, COMPUTERS AND BIOINFORMATICS
UNIT I
1. Introduction to Biostatistics, Common terms, notations and applications, Statistical
population and sampling methods
2. Classification ad Tabulation of data, Diagrammatic and graphical presentation
3. Frequency distribution and measures of central value
4. Measures of variability, Standard deviation, Standard error, Range, Mean, Deviation,
Coefficient of variation
UNIT II
1. Correlation and Regression, Positive and negative correlation, Calculation of correlation
coefficient and regression coefficient, linear regression and regression equation
2. Test of significance; t-test, chi-square test and analysis of variance
3. Design of experiment, randomization, replication, local control, complementary randomized,
randomized block design
4. Factor analysis, Path analysis
UNIT III
1. Introduction to computer basics, Concept of Hardware and Software, DOS, Internal and
External commands
2. Concept of file, folders, directories and their management
3. Office applications : MS-Office, MS-Word, MS-Excel and MS-Power Point
4. Open office on Linex : Word Processor, Spreadsheets, Impress
UNIT IV
1. Overview of Bioinformatics : Introduction to MEDLINE on PubMed System for accessing
Biological Information, Entrez, Swissport, PIR, NCBI
2. Sequence databases : Contents, Structure and annotation for Human Genome Databases,
Plant Genome Databases, Retrieving and installing a program (Tree Tool), Multiple sequence
alignment programme-Clustal W, X.
3. Use of genome analysis programs : BLAST, FASTA
4. CGC, Motif and Profile, Sequence search
UNIT V
1. Predictive methods : Predictive methods using nucleotide sequences and protein sequencing,
physical properties based on sequences, secondary structures, folding classes, tertiary
structures
2. Genome mapping applications : EST and functional genomics, EST clustering, gene
discovery, ORF prediction, molecular modeling
3. Phylogenetic analysis : Phylogenetic reconstruction, distance matrices, Parsimony, Phylips
4. Submitting DNA sequences to database
Reference Books:
1. Introduction to Bioinformatics : A theoretical and practical approach by Stephen a Krawetz
and DD Womble
2. Bioinformatics, Genes, Proteins and Computers by CA Orengo, DT Jopnes and JM Thornton
3. An Introduction to Computational Biochemistry by C.Stan and T.Sai
4. Instant Notes on Bioinformatics by DR Westhead, JM Parish and RM Twyman
5. Statistics for Agricultural Sciences by G Nageswara Rao
6. Fundamentals of Statistics by Goon et al.
7. Molecular Biotechnology : Therapeutic applications and Strategies by S Maulik and SD Patel
8. Methods in Biostatistics by BK Mahajan
9. Statistical Methods by SP Gupta
10. Statistical Methods by GW Snedecor and WG Cochran
Note: All text books are of latest editions.
_______________________________________________________________________________
403 : Lab Course VII
Consists of practical exercises based on 401 & 402
_______________________________________________________________________________
404 : Research Project Work
To be carried out on a specific defined objective under the supervision of a teacher. The work is
complied in the form of dissertation.
_______________________________________________________________________________
