Unit1
Unit 1: SEQUENCE ANALYSIS
8 hrsAlignments- DNA alignments- Molecular evolution and phylogeny- viral evolution and escape- prediction of functions.
Alignments- DNA alignments- Molecular evolution and phylogeny- viral evolution and escape- prediction of functions.
Methods applied in Immunological Bioinformatics starting from sequence weighing methods to cluster analysis- Gibbs Sampling- HMM- Neural network- microarray and its applications.
Prediction of Cytotoxic T Cell (MHC Class I) Epitopes- Antigen Processing in the MHC Class I Pathway.
Prediction of Helper T Cell (MHC Class II) Epitopes- Processing of MHC Class II Epitopes.
Recognition of Antigen by B Cells- vaccine design- Web-Based Tools for Vaccine Design.
After completion of the course student will be able to:
This subject is on page 29, 30, 31 of the original AKTU PDF.