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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
- Co-major
in Bioinformatics
- Minor in
Bioinformatics (for students pursuing a Ph.D. in Functional
Genomics or another discipline; there is no minor offered for
MR degrees)
Admission
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.
Degree
Requirements
Students
take a 15-credit Genomic Sciences core curriculum of courses that
is common to both the Bioinformatics and Functional Genomics degree
programs to ensure that all Genomic Science graduates receive
a solid grounding in the basic elements of both areas.
All
Bioinformatics students then proceed to a Bioinformatics core.
This provides the additional courses for the Master's degree (30
credit hours). The Master's is designed as a terminal degree,
or as preparation for a Ph.D. in the same area.
Genomic
Sciences Core Requirements
- ST
590A Bioinformatics I - 3 cr.
- GN
735 Functional Genomics - 3 cr.
- PP
610 or 810G: Journal Club (one-credit
course to be taken twice) - 2 cr.
- GN
701: Molecular Genetics or BCH 703: Macromolecular Synthesis
and Regulation - 3 cr.
- GN
703: Population and Quantitative Genetics - 3 cr or BCH
701: Macromolecular Structure - 3 cr.
- GN
850: Professionalism and Ethics - 1 cr.
TOTAL
common core: 15 credits
Bioinformatics
Core
- ST 590C: Bioinformatics II - 3 cr.
- CSC
530: Computational Methods for Molecular Biology - 3 cr.
- ST
512 or ST 590D: Statistics for Molecular Biology - 3 cr.
(you
must take at least one; may take both if desired)
Total
for Bioinformatics Core: 9 credits
Master
of Bioinformatics Degree
- Genomic
Sciences core (see description above) - 15 cr.
- Bioinformatics
core (see description above) - 9 cr.
- Three
Elective Courses - 3 cr. ea.
TOTAL Master of Bioinformatics: 33-36 credits.
It
is expected that full-time students will generally take 36 credits
over four semesters. No thesis is required, but the Master's program
requires a final oral examination.
Ph.D,
Bioinformatics Core
- Genomic
Sciences core (see description above) - 15 cr.
-
Bioinformatics core (see description above) - 9 cr.
- PP
810G: Journal Club (one-credit course to be taken twice) - 2
cr.
- ST
521: Statistical Theory I - 3 cr.
- ST
522: Statistical Theory II - 3 cr.
- Graduate
Electives - 9 cr.
- BI
893/895: Electives and Dissertation Research- 31credits.
TOTAL
Doctor of Philosophy, Bioinformatics: 72 credits.
Co-Major,
Bioinformatics
Students
co-majoring in Bioinformatics must meet all of the requirements
for this degree (see above).
Ph.D.
Minor, Bioinformatics
- Genomic
Sciences Core, taking Journal Club only once (14 credits, see
above)
- ST
590C: Bioinformatics II - 3 cr.
- requires
computer programming skills, e.g. CSC 114 or CSC 116
The
advisor for a student minoring in Bioinformatics is not required
to be a member of the Genomic Sciences Faculty. The Director of
Graduate programs for Genomic Sciences must approve the minor
on the Plan of Work.
Note: No minor is offered for Masters
degrees.
Additional
Information for Graduate Students
- All
graduate students must maintain at least a B average.
- Graduate
students seeking a Ph.D. are expected to meet with each core
Bioinformatics faculty member during their first semester in
order to select their major advisor. They will be guided in
this process by the Coordinator of Bioinformatics.
- Graduate
students must form an advisory committee and file a Plan of
Work within the first year of graduate study.
- The
advisory committee for students seeking an M.S. must be comprised
of a minimum of three NCSU faculty: one Bioinformatics faculty
member, one Functional Genomics member and one additional faculty
member (not necessarily a Genomic Sciences faculty member).
- The
advisory committee for students seeking a Ph.D. must be comprised
of a minimum of four NCSU faculty: one Bioinformatics faculty
member, one Functional Genomics member and two additional faculty
members (not necessarily Genomic Sciences faculty members).
- A
student's advisory committee and the Director of Graduate programs
for Genomic Sciences must approve courses and changes in core
requirements.
- The
Ph.D. degree is research-oriented, and the research dissertation
is expected to be of much greater depth than that for the M.S.
The Ph.D. degree requires written, and oral preliminary exams,
a research dissertation and a dissertation defense oral exam.
- Throughout
the program, graduate students will have the opportunity to
gain practical experience in the Genome Research Laboratory,
Bioinformatics Research Center and the DNA Sequencing Facility.
- While
there are no formal teaching requirements, graduate students
seeking a Ph.D. are strongly encouraged to seek appropriate
teaching opportunities.
- Graduate
students are strongly encouraged to participate in Genomic Sciences
seminars and symposia. See Event Calendar.
- Further
information can be found in the Genomic Sciences Graduate Student
Handbook.
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