Department of Bioinformatics

Magnification of actual DNA strands

Bioinformatics Undergraduate Program

Bioinformatics has developed at the juncture of the mathematical sciences and the life sciences; its development is analogous to that of molecular biology as a discipline in its own right. According to the National Institutes of Health (NIH), bioinformatics is "research, development or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze or visualize such data." Indeed, there is a consensus among observers that biology, regardless of the subspecialty, is being overwhelmed with a large amount of very complex data; what sets biology apart from other data-rich fields is the complexity rather than the sheer volume of the data produced. It is clear that collaboration between computer scientists, mathematicians, biologists and biochemists will be necessary to design information platforms that support the analysis of biological data. The application of mathematical and computational tools to all areas of biology is producing many exciting results, providing insights into biological problems too complex for traditional analysis.

The concentration in bioinformatics at Clark is offered by the departments of Mathematics and Computer Science in collaboration with the departments of Biology and Chemistry. It introduces students to some of the present paradigms and tools in this rapidly evolving discipline and combines knowledge of biology and chemistry with principles from mathematics and computer science that can be used to design tools to solve problems in the life sciences. It is especially well suited for undergraduates who are interested in the life sciences and enjoy quantitative thinking. Students who graduate with a concentration in bioinformatics will be in a strong position to go into industry or continue their education in graduate school either in their major or in a graduate program in bioinformatics.

Courses
(Click on "Title of Course" or "Course Number" to sort by that category)

Title of CourseCourse Number
Bioanalytical Chemistry/Lecture, Laboratory
BCMB144
Biophysical Chemistry/Lecture, Laboratory
BCMB264
Biochemistry I/Lecture, Laboratory
BCMB271/BCMB371
Decoding the Mystery of Life
BINF100
Introduction to Bioinformatics/Lecture, Laboratory
BINF101
Evolution/Lecture, Laboratory, Discussion
BIOL105
Microbiology/Lecture, Laboratory
BIOL109
Genetics/Lecture, Laboratory
BIOL118
Cell Biology/Lecture, Laboratory
BIOL137
Ecology of Infectious Disease/Seminar
BIOL217
Developmental Biology/ Lecture, Laboratory
BIOL221
Recombinant DNA/Lecture, Laboratory
BIOL231
Signal Transduction/Lecture
BIOL234
Immunology/Lecture, Discussion
BIOL250
Molecular Ecology of Forest Fungi
BIOL254
Statistical Thermodynamics/Lecture
CHEM222
Biomolecular NMR/Lecture
CHEM266
Principles of Molecular Modeling/Lecture
CHEM273
Computer Biochemistry/Lecture
CHEM279
Introduction to Computing/Lecture, Laboratory
CSCI120
Data Structures/Lecture, Laboratory
CSCI121
Assembly Language And Computer Organization/ Lecture, Laboratory
CSCI140
Algorithms/Lecture, Discussion, Laboratory
CSCI160
Automata Theory/Lecture, Discussion
CSCI180
Artificial Intelligence/ Lecture, Laboratory
CSCI210
Operating Systems/ Lecture, Laboratory
CSCI215
Database Management And Systems Design/Lecture
CSCI220
Compiler Design/Lecture, Laboratory
CSCI230
Computer Architecture/Lecture
CSCI240
Software Engineering/Seminar
CSCI250
Computer Graphics
CSCI260
Theory of Computation/Lecture
CSCI270
Computer Networks/Lecture, Laboratory
CSCI280
Urban Ecology: Cities as Ecosystems/Lecture, Discussion
GEOG280
Multivariate Calculus/Lecture
MATH131
Introduction to Modern Analysis/ Lecture
MATH172
Numerical Analysis/Lecture, Laboratory
MATH212
Modern Analysis/Lecture
MATH214
Functions of a Complex Variable/ Lecture
MATH216
Probability and Statistics/Lecture
MATH217
Topics in Statistics/Lecture
MATH218
Modern Algebra I/Lecture
MATH225
Topology/Lecture
MATH228
Differential Equations/Lecture
MATH244