Details of ID4111 (Autumn 2013)

Level: 4 Type: Theory Credits: 3.0

Course CodeCourse NameInstructor(s)
ID4111 Bioinformatics Anirban Banerjee,
Shree Prakash Pandey

Syllabus
DNA AND AMINO ACID SEQUENCES: FEATURE EXTRACTION, ALIGNMENT AND INFERENCES

Exploration of biological features; exploration of quantitative characteristics; alignment algorithms (Needleman-Wunsch, Smith-Waterman, BLAST); algorithms for determination of higher order structure

EVOLUTIONARY INFERENCE FROM SEQUENCE DATA: ESTIMATING RATES OF EVOLUTION

Jukes and Cantor model; Kimura's two-parameter model; Tajima and Nei's method;

BIOINFORMATICS APPROACHES TO OMICS ANALYSIS

Exploration of trends in high-throughput data using Principal Component Analysis (PCA) and hierarchical clustering; differential gene expression using moderated t-tests and Receiver Operating Characteristic (ROC); Gene set (pathway) enrichment analysis; exploration of correlation gene networks

METHODS OF SYSTEMS BIOLOGICAL INFERENCE


References
1. Biological Sequence analysis by Durbin, Eddy, Krogh, Mitchison (Cambridge University Press, 1998)

2. Fundamentals of Molecular Evolution by Dan Graur and Wen-Hsiung Li (Sinauer, 2000, Second Edition)

3. Bioinformatics: Sequence and Genome Analysis by David W Mount (Cold Spring Laboratory Press 2004, Second Edition).

Course Credit Options

Sl. No.ProgrammeSemester NoCourse Choice
1 IP 1 Elective
2 IP 3 Elective
3 MS 7 Elective
4 RS 1 Elective