Professor and Chair, Department of Molecular Neuroscience, Krasnow Institute for Advanced Study and
Professor, School of Systems Biology, College of Science
George Mason University
4400 University Drive
Krasnow Institute for Advanced Study, Room 234, MSN 2A1
Manassas, VA 20110
sjafri (at) gmu.edu
A brief research summary - cellular signalling, cardiac physiology, protein structure, high-performance computingCurriculum Vitae
HP Fortran Programmer's Guide
HP Fortran Programmer's Reference
HP Parallel Programming Guide for HP-UX Systems
HP MLIB Users Guide
Portland Group Fortran Reference
Current Group Members
Research Group Alumni
Previous Courses Taught
MATH 108 - Introductory Calculus with Business Applicationss - Functions, limits, derivative, and integral. Applications of differentiation and integration. Students who have received credit for MATH 113 or 114 may not receive credit for this course.
NEUR 411 - Seminar in Neuroscience - This writing intensive class will cover scientific writing while convering the topic of calcium signaling.
BINF 630 - Bioinformatics Methods - This course teaches the fundamental methods used in bioinformatics including sequence analysis, micorarray analysis, phylogenetic trees, etc.
BINF 636 - Microarray Methodology and Analysis" - Theory and practice of genome analysis, including the genetics, biochemistry, and tools for analysis of global gene expression, as well as the detection and quantification of genes and gene products.
BINF 701/BIOS 701 - Systems Biology/Biochemical Systematics - An introduction to systems biology. Introduction to biochemical systems now in use to investigate complex, multicomponent, dynamic functions of cellular systems. Such studies employ myriad conceptual and technical approaches in their application.
CHEM662/BINF 739 - Drug Discovery - This course teaches bioinformatics methods used in modern drug discovery.
BINF 690 - Numerical Methods in Bioinformatics - This course teaches computational techniques for solving scientific problems focusing on applications in bioinformatics and computational biology.
BINF 702 - Researchs Methods - This course teaches the fundamental principles behind the scintific method, experimental design, and data analysis. It focuses on the used of biostatistics.
BINF 704 - Colloquium in Bioinformatics - Students will attend the Bioinformatics Colloquium to be introduced to current research in the field.
BINF 705 - Research Ethics - This course examines ethical issues in scientific research.
BINF 730 - Biological Sequence Analysis - This course teaches the fundamental mathematical and algorithmic theory behind current bioinformatics techniques used in sequence analysis.
BINF 732 - Genomics - This course teaches the computational tools and biological basis of genomicss.
BINF 739 - CUDA Enabled Scientific Programming - This course teaches the application of CUDA to use GPUs for scientific programming.
CHEM579/BINF 739 - Drug Discovery - This course teaches bioinformatics methods used in modern drug discovery.
BINF 739 - Topics in Drug Discovery - This course teaches bioinformatics methods used in modern drug discovery.
BINF 796 - Bioinformatics and Computational Biology Journal Club - This course will review the scientifc literature in the area of bioinformatics and computational biology.
BINF 751 - Biochemical and Cellular Systems Modeling - This course teaches the fundamental mathematical and computational methods used to study cellular and subcellular function in normal and diseases organisms.
Math 6390 - Bioinformatics - This course teaches the fundamental mathematical and algorithmic theory behind the current bioinformatics techniques.
Math 1314 - College Algebra - This course will teach the student the fundamentals of algebra and how to apply it to solve problems.
Math 4341 - Topology - This course will introduce the student the field of topology.
Math 5404 - Applied Math Analysis for Non-Majors - This course will introduce the student the fundamental techniques of calculus and how to apply these techniques to solving business problems.
Math 6390 - Mathematical Methods in Medicine and Biology - This course will introduce the student to use mathematical and numerical techniques to study and understand problems in medicine and biology.
Math 2420 - Ordinary Differential Equations - This course will train the student to solve and understand ordinary differential equations.
High Performance Computing in Biology - This course will train students in the use of high performance computing systems to solve problems in biological modelling.
Elementary Calculus - A typical first and second semester Freshman Calculus course.