Details of LS4103 (Autumn 2014)

Level: 4 Type: Theory Credits: 3.0

Course CodeCourse NameInstructor(s)
LS4103 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 and Estimating rates of evolution:
    Jukes and Cantor model; Kimura's two-parameter model; Tajima and Nei's method

  • Bioinformatics and 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. by Durbin, Eddy, Krogh, Mitchison , Biological Sequence analysis, Edition 2, Cambridge University Press (1998)

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

  3. David W. Mount, Bioinformatics: Sequence and Genome Analysis, Edition 4, Cold Spring Laboratory Press (2004)


Course Credit Options

Sl. No.ProgrammeSemester NoCourse Choice
1 IP 1 Not Allowed
2 IP 3 Elective
3 MR 1 Not Allowed
4 MR 3 Not Allowed
5 MS 7 Core
6 RS 1 Elective
7 RS 2 Elective