COMPUTATIONAL BIOLOGY and BIOSTATICS

 

DISCIPLINE CENTRIC ELECTIVE COURSES

CODE: ZOO-HE-5016

COMPUTATIONAL BIOLOGY and BIOSTATICS 

THEORY (Credits 4)

Unit 1: Introduction to Bioinformatics

Importance, Goal, and Scope of Bioinformatics

Genomics, Transcriptomics, Systems Biology, Functional Genomics, Metabolomics, and Molecular Phylogeny in Bioinformatics

Applications and Limitations of Bioinformatics

Unit 2: Biological Databases: Introduction to biological databases

Primary, Secondary and Composite Databases

Nucleic Acid Databases (GenBank, DDBJ, EMBL and NDB);

Protein Databases (PIR, SWISS-PROT, TrEMBL, PDB);

Metabolic Pathway Databases (KEGG, EcoCyc, and MetaCyc);

Small Molecule Databases (PubChem, Drug Bank, ZINC, CSD)

Unit 3: Data Generation and DataRetrieval

Generation of Data in Biological Research (Gene Sequencing, Protein Sequencing, Mass Spectrometry, Microarray),

Sequence Submission Tools (BankIt, Sequin, Webin)

Sequence File Formats in Bioinformatics (Flat file, GCG format, EMBL format, FASTA format)

Sequence Annotation in Bioinformatics

Data Retrieval Systems in Bioinformatics (SRS and ENTREZ)

Unit 3: Basic Concepts of Sequence Alignment

Scoring Matrices: PAM and BLOSUM

Methods of Alignment ( Dot Matrix Method, Dynamic Programming, BLAST, FASTA)

Local and global alignment,

Pair wise and multiple sequence alignments

Similarity, identity and homology of sequences.

Unit 4: Applications of Bioinformatics

Structural Bioinformatics (3-D protein, PDB),

Functional genomics (genome- wide and high throughput approaches to gene and protein function),

 Drug discovery method (Basic concepts)

Unit 5: Biostatistics

Introduction,

Calculation of standard deviation,

Standard error,

Co[1]efficient of Variance,

Chi-square test,

 Z test,

t-Test