Bioinformatics at NC State

Handling and analyzing large amounts of data continues to be an urgent need in genomic science. Bioinformatics emerged in response to this need. The new field includes methods to analyze extremely large data sets of genomic information such as DNA sequences and expression from DNA microassays. Students selecting bioinformatics will be concerned both with the management of genomic data and with the means for drawing inferences from these. They will learn to search for pattern and meaning in genomic data and will develop new statistical methods of analysis.

Academic preparation will focus on all quantitative aspects of genomic science—mathematical, statistical and computational analysis.

Theoretical research will focus on applications of genomic data in areas such as human identification for forensic and parentage issues, varietal protection of plants, detection of genes affecting disease and those affecting economic traits in plants and animals, prediction and determination of the structure of proteins, gene discovery, sequence alignment, characterization of functional and structural domains in DNA sequences, reconstruction of the evolutionary history of modern species, characterization of the structure of human and other populations, quantification of the extent of genetic diversity in natural and domesticated species.

Degrees Offered

Master of Bioinformatics (non-thesis degree)
Ph.D., Bioinformatics

Admission to the Bioinformatics Program

Students should have an undergraduate major in the biological or physical sciences, mathematics, statistics or computer science.

Students in Bioinformatics should have completed undergraduate courses in calculus and linear algebra and courses comparable to each of the following: CSC 114 (Introduction to Computing – C++), ST 511 (Experimental Statistics for Biological Sciences I) and GN 411 (Principles of Genetics).

Alternatively, accepted students must take these courses as prerequisites outside the credit requirements for the degree.