|
Lecture I |
Introduction, history, human genome project, molecular biology, regulation of gene expression, challenges |
|
Lecture II |
Transcriptomics, Microarrays and Meta-analysis |
|
Lecture III |
qPCR, RNA-seq, GO and clustering |
|
Lecture IV |
Regulatory motif discovery (experimental methods, discovery, analysis)
mircoRNAs (biogenesis, target prediction) |
|
Lecture V |
Mass Spectrometry, Proteomics |
|
Lecture VI |
Proteomics and Lipidomics |
|
Lecture VII |
Databases and Data Integration |
|
Lecture VIII |
Network Analysis, Reverse Engineering, and Systems Biology |
|