Rensselaer Catalog
School of Science
Bioinformatics and Molecular Biology

Director, Undergraduate and Graduate Degree Programs   John C. Salerno
Department Home Page
http://www.rpi.edu/dept/science/www/Ugrad_options/Bioinformatics/

Revolutions in biotechnology and information technology are changing the world. Advances in molecular genetics, coupled with improved capability in robotics, computer science, and other technologies, have made mass sequencing of genetic material a part of the scientific landscape. Previously, growing sequence databases had been compiled one gene at a time by individual research laboratories. This cottage industry approach is still part of the effort, but numerous genome-sequencing projects have produced the entire sequences of viruses, bacteria, and increasingly complex eukaryotic organisms. The complete human genome with its 109 base pairs is now complete.

The enormous treasure trove of information that the sequence databases and their smaller structural counterparts represent is a priceless resource. Applications include the identification of targets for drug discovery, the study of structural and functional relationships, and work on molecular evolution. Timely advances in computer science have made the storage, organization, and utilization of these very large data collections possible.

Bioinformatics approaches incorporate expertise from the biological sciences, computer science, and mathematics. Allied computational approaches using chemical and physical methods are also of widespread interest. Rensselaer’s bioinformatics and molecular biology undergraduate curriculum includes training in mathematics, chemistry, and physics. At the program’s core are courses in the theory and practice of bioinformatics that deal with topics such as database design and search algorithms, sequence alignment, sequence analysis, and molecular modeling. The core includes a molecular biology sequence and training in drug discovery.

The curriculum is extremely flexible, allowing for dual majors with several other disciplines including computer science. Advanced courses are available through the biology program and the biochemistry and biophysics program, including a strong set of advanced laboratory courses. Through appropriate elective selection, students planning careers as molecular biologists with a computational background or as fully trained computer scientists with a knowledge of biological sciences can adapt the program to their needs.

There are extensive opportunities to pursue undergraduate research in faculty laboratories. The bioinformatics and molecular biology program also serves as an excellent premedical curriculum.


Research Innovations and Initiatives

Bioinformatics research at Rensselaer includes the design and application of algorithms for sequence database searching, sequence alignment, and sequence analysis, molecular modeling, and allied areas in computational chemistry and simulation of biological processes. Closely related research in molecular genetics and biochemistry provides concrete applications for graduate and undergraduate students. A diverse group of agencies including NIH, NSF, the American Diabetes Association, and NASA fund this work. Research projects range from drug discovery, enzymology, signal transduction, protein structure, and protein folding to studies on environmental adaptations of microorganisms.


Faculty

Biology
C. Bystroff, D. Crone, J. Diwan, J.F. Koretz, J.C. Salerno, S.M.E. Smith

Chemistry
C.M. Breneman, W. Colon, M. Wentland

Computer Science
B.K. Szymanski, M.Zaki

Decision Sciences and Engineering Systems
M.J. Embrechts

Mathematical Sciences
M. Zuker


Undergraduate Programs

Bioinformatics & Molecular Biology Undergraduate Curriculum

First Year
Fall Credit Hours
  Hum. or Soc. Sci. Elective 4
MATH-1010 Calculus 4
CHEM-1100 Chem. I 4
  Elective 4
Spring Credit Hours
  Hum. or Soc. Sci. Elective 4
MATH-1020 Calculus II 4
CHEM-1200 Chem. II 4
BIOL-2120 Intro. Cell & Molec. Biol. 4
Second Year
Fall Credit Hours
  Hum. or Soc. Sci. Elective 4
CHEM-2250 Organic Chem. I 4
PHYS-1100 Physics I 4
  Elective 4
Spring Credit Hours
  Hum. or Soc. Sci. Elective 4
CHEM-2260 Organic Chem. II 4
PHYS-1200 Physics II 4
BIOL-4620 Molecular Biology 4
Third Year
Fall Credit Hours
  Hum. or Soc. Sci. Elective 4
BIOL-4760 Molec. Biochem. I 4
  Elective 4
  Elective 4
Spring Credit Hours
  Hum. or Soc. Sci. Elective 4
CHEM-4330 Drug Discovery 4
BIOL-4770 Molecular Biochem. II 4
  Elective 4
Fourth Year
Fall Credit Hours
BIOL-4540 Bioinformatics I 4
BIOL-4720 Molecular Biology Lab 4
  Elective 4
  Elective 4
Spring Credit Hours
BIOL-4550 Bioinformatics II 4
BIOL-4630 Molecular Biology II 4
  Elective 4

Elective Recommendations

Biochemistry
BCBP-4310 Genetic Engineering
BCBP-4810 Biological Spectroscopy
BCBP-4210 Biophysical Methods
BCBP-4860 Protein and Nucleic Acid Structure
BCBP-4710 Biochemistry Laboratory
BCBP-2900 Research in Biochemistry & Biophysics
BCBP-2930 Out of Class Exp. in Biochemistry & Biophysics
BCBP-2940 Readings in Biochemistry & Biophysics
BCBP-2990 Research Thesis
BCBP-4210 Biophysical Methods
Biology
BIOL-1010 Introduction to Biology
BIOL-2310 Microbiology
BIOL-2500 Genetics & Evolution
BIOL-4270 Human Physiology I
BIOL-4280 Human Physiology II
BIOL-4420 Introductory Immunology
BIOL-4510 Molecular Genetics
BIOL-4740 Cell & Developmental Biology Laboratory
Chemistry
CHEM-2440 Physical Chemistry for Life Sciences
CHEM-4300 Medicinal Chemistry
CHEM-4310 Bioorganic Mechanisms
CHEM-4450 Macroscopic Physical Chemistry
CHEM-4460 Microscopic Physical Chemistry
CHEM-4520 Chemical Information
CHEM-4620 Introduction to Polymer Chemistry
CHEM-4640 Polymer Science Laboratory
CHEM-4810 Chemistry of the Environment
Computer Science
CSCI-1100 Computer Science I *
CSCI-1200 Computer Science II
CSCI-2200 Programming in C++
CSCI-2300 Data Structures and Algorithms
CSCI-4020 Computer Algorithms
CSCI-4260 Graph Theory
CSCI-4380 Database Systems
Mathematics
MATH-2010 Multivariable Calculus & Matrix Algebra
MATH-2400 Differential Equations
MATH-4720 Mathematics in Medicine and Biology
Other
DSES-4140 Statistical Analysis

*Required if lacking computer science skills.


Graduate Program

The primary goal of the of the master’s degree program in this field is to educate students for jobs in biotechnology, pharmaceuticals, and related industry sectors. The professional Master of Science in Applied Science program with a concentration in bioinformatics is also available to those wishing to upgrade their skills while employed in industry. The Master of Science in biology with a concentration in bioinformatics may attract those desiring an M.S. degree before proceeding to professional study in medicine or an allied health field. It may also be useful to students with a B.S. degree in biological sciences who wish to prepare for eventual entry in to a doctoral program at Rensselaer or elsewhere. It is possible to enter the doctoral program in biology with a concentration in bioinformatics.

 

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www.rpi.edu

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