Credit Hours - 3
Objective
This program aims to prepare students to comprehend contemporary high throughput technologies and their applicability to real biological and biomedical challenges, as well as to master systems biology theories and algorithms. The program also intends to provide students with expertise in building projects utilizing high-throughput data to discover physiologically meaningful characteristics using systems biology methodologies. It also seeks to equip students with a thorough understanding of network and route analysis utilizing 'omics' data.
Content
The course will include lectures, discussions, and practical computational exercises covering the following topics: genomics which encompasses Genome-scale mutational profiling in complex diseases, regulation in biological systems and high-performance genomic technologies, and data analysis which includes microarray and next generation sequences analysis. Systems genetics, molecular evolution, and phylogenetics elucidate the use of phylogenetics techniques to study the genetic diversity of viruses. GWAS Population genomics describes linkage disequilibrium; genome-wide association mapping, disease genomics, and adaptation genomics. Transcriptomics methods focus on microarrays, SAGE, tiling arrays, splicing assays, RNA-seq, Chip-Seq, sequencing vs. microarrays, clustering, other analysis techniques, and differential expression analysis. Also, it includes proteomics with focus on 2D gels, mass spectrometry, tagged proteins (libraries); interactions, biomarkers, and translation regulation. It also integrates metabolomics & metabolic networks which describes the integration of metabolomics and phenomics to understand genomic data. The module also includes Signal transduction networks which outlines dynamic systems modeling, signaling networks, dynamic signaling and gene expression, feedback loops, and synthetic biology. It also introduces Biomedical Imaging and informatics which equips students with mathematical algorithms used in the processing and analysis of biomedical images.
Reading list
- Biesbroek G., Tsivtsivadze E., Sanders E.A., Montijn R., Veenhoven R.H., Keijser B. J. (2014). Early respiratory microbiota composition determines bacterial succession patterns and respiratory health in children. Am J Respir Crit Care Med.; 190 (11: 83–92).
- Camelo-Castillo A, Henares D, Brotons P, Galiana A, Rodriguez JC, Mira A and Muñoz-Almagro C. (2019). Nasopharyngeal Microbiota in Children with Invasive Pneumococcal Disease: Identification of Bacteria with Potential Disease-Promoting and Protective Effects. Frontiers Microbiology; 10:11. doi: 10.3389/fmicb.2019.00011
- Zvelebil, Marketa, and Jeremy O. Baum. Understanding Bioinformatics. New York, NY: Garland Science, 2007. ISBN: 9780815340249.
- Alon, Uri. An Introduction to Systems Biology: Design Principles of Biological Circuits. Boca Raton, FL: Chapman & Hall, 2006. ISBN: 9781584886426.
- Watson, J. D., T. A. Baker, S. P. Bell, A. Gann, M. Levine, and R. Losick. Molecular Biology of the Gene. 6th ed. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press, 2007. ISBN: 9780805395921.
- Alberts, B., A. Johnson, J. Lewis, M. Raff, K. Roberts, and P. Walter. Molecular Biology of the Cell. (5th Ed). New York, NY: Garland Science, 2008. ISBN: 9780815341055.
- Berg, J. M., J. L. Tymoczko, and L. Stryer. Biochemistry. (6th Ed). New York, NY: W.H. Freeman, 2007. ISBN: 9780716787242.