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MEDED 534 , Autumn 2005
Biology and Informatics

Syllabus

Note that  this is the logical order. Specific weeks are occasionally swapped due to instructor schedules.

Week 1

Class 1: Overview of the course
Course description, intended audience, goals of the course, specific objectives, course format, grading policy, general approach, introduction to biological topics. The structural organization of the body as an intellectual framework for understanding normal and abnormal biological function. Bioinformatics as the informatics of all basic biomedical sciences. Structural informatics as a methodology for representing and organizing information in terms of the structure of the body.

 

 


Week 2

Class 1: Organs and macroscopic anatomy
Physical structure of the body at the visible level, from the whole body to organ parts and components. Anatomic conventions, regional (e.g., thorax, head) and systemic (e.g., respiratory system) approaches, primary classes of anatomical structures (eg., organ, body part), macroscopic anatomy of the lung as a specific example.

Class 2: Anatomical Knowledge Representation
Representing non-image-based (symbolic) knowledge about the structure of the body. Use of such knowledge as a means for organizing and relating other information. The Foundational Model of Anatomy and other representation schemes.


Week 3

Class 1:Tissues and cells
Physical structure of the body at the microscopic and cell ultrastructural level. Tissues and tissue types (e.g., epithelium, connective tissue), cells and cell types (e.g., muscle cell, nerve cell), cell components (e.g., nucleus, plasma membrane). Lung tissue and cell types.

Class 2: Imaging informatics
Images as a major source of information about the structure and function of the body. Types of images, overview of image processing, image databases, visualization, relating images to symbolic descriptions of anatomy.


Week 4

Class 1: Macroscopic Physiology
Physiology as the study of the transformation of anatomical structures over short periods of time. Systems physiology at the macro level (e.g., the cardiac or respiratory cycle).

Class 2: Simulation
Systems for simulating physiological function, The Virtual Soldier initiative. Simulating the heart. Jsim and other modelling systems.


Week 5

Class 1: Molecules and Pathways
Biochemical foundations: atoms, molecules, covalent and other bonds, chemical energetics, the role of enzymes, metabolic pathways in the cell, glycolysis as an example pathway.

Class 2: Pathway databases
Pathway databases such as Ecocyc.


Week 6

Class 1: Proteins
Structure and function of proteins

Class 2: Protein structure determination, protein databases
Methods for determining, analyzing and visualizing protein structure; protein databases.


Week 7

Class 1: DNA and protein synthesis
The structure of nucleic acids, the fundamental dogma of biology.

Class 2:Sequencing and databases
Methods for sequencing DNA, analyzing and comparing sequences, sequence databases, links to protein databases.


Week 8

Class 1: Gene regulation
The control of protein synthesis, glycolysis as an example

Class 2: Measuring and managing gene expression data
Microarrays, in situ methods, analysis approaches, databases


Week 9

Class 1:Cell signalling
Control of gene expression through contact with other cells, glycolysis as an example

Class 2: Systems biology
Simulating the functioning cell, simulating control of the glycolytic pathway


Week 10

Class 1: Developmental Biology
How the embryo develops. How the biological principles described in previous classes are used to understand development.

Class 2: Informatics in Developmental Biology
How the informatics principles described in previous classes are used for managing developmental biology information.


Week 11

Class 1: The neuron and neuroscience
The neuron as a specialized cell type. Properties of the neuron, the action potential, synapses, neural circuits, the macroscopic brain, behaviour. How the biological principles described in previous classes are used to understand the nervous system.

Class 2: Neuroinformatics
Information representation, management and sharing in neuroscience. How the informatics principles described in previous classes are used for managing neuroscience information.


Week 12 Finals week

 

 

 

 


 


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Last Updated:
07/26/2004

Contact the instructor at: brinkley@u.washington.edu