Computational Systems Biology (aka Biology X)

(1) Who are we (humans)?

(2) Where did we come from? How do we differ?

(3) Why do we suffer?

(4) Why do we die?

Lecture 3 & 4: Genome Structure: (Retro-Elements and their distributions; Physical Properties of a genome; Large Segmental Duplications; Models of Segmental Duplications); Polymorphisms: (SNPS & CNPS; Haplotyping and Haplotype phasing);

Lecture 5 & 6: Genetics: (Linkage Analysis; Association Studies)

Lecture 7, 8 & 9: Reconstructibility in Biology; Biological Networks: Protein-DNA and Protein-Protein Interactions: (Two hybrid experiments; Motifs and Scale-Free Networks; Origin of structures); Network Reconstruction: (From Microarray Data; Techniques based on Linear and non-linear regression; The issue of sparsity); Theory of Information Bottleneck: (Clustering using IB, side-information and ontology; Analysis of Time-Course Data; GOALIE)

Lecture 10, 11 & 12: Biology of Cancer; Cancer Data Analysis: (Genomic Data; Transcriptomic Data; Proteomic Data); Cancer Gene Discovery: (Tumor Suppressor Genes and Oncogenes); Somatic Evolution in Cancer; Stem Cells; Longevity and Immortality.