Poláková E, Illaste A, Niggli E, Sobie EA
J Physiol. 2014 Sep 5; doi:10.1113/jphysiol.2014.278051
Bouhaddou M, Birtwistle MR..
Mol Biosyst. 2014 Jun 3;10(7):1824-32.
Clark NR, Hu KS, Feldmann AS, Kou Y, Chen EY, Duan Q, Ma'ayan A.
BMC Bioinformatics 2014 Mar 21;15:79.
Azeloglu EU, Hardy SV, Eungdamrong NJ, Chen Y, Jayaraman G, Chuang PY, Fang W, Xiong H, Neves SR, Jain MR, Li H, Ma'ayan A, Gordon RE, He JC, Iyengar R.
Sci Signal. 2014 Feb 4;7(311).
Song RS, Massenburg B, Wenderski W, Jayaraman V, Thompson L, Neves SR.
Proc Natl Acad Sci U S A. 2013 Sep 17;110(38):15437-42.
Software for Gene Expression Data Analysis
Systems Biomedicine: Molecules, Cells and Networks
This active-learning course will introduce core biochemical, cell biological and molecular mechanisms together with basic bioinformatic and systems biology concepts and applications in the context of human biomedical research. The emphasis is 'topdown', beginning with a pathophysiological condition studied from a clinical perspective and moving towards explication of the molecular and metabolic logic, regulatory circuits and cell and tissue specific properties that distinguish the disease and normal state. The goals of this course are to provide inquisitive, self-directed students with an appreciation of the complexity of biological systems across scales and to give insight into pathophysiology as a basis for scientific enquiry and development of new therapeutic strategies. Students will be guided to relevant textbook material and current reviews, and will also participate in analyses of primary journal articles to enhance their study of scientific method and to illustrate a variety of experimental and computational approaches to contemporary translational biomedicine.