2019-2020 Computational Biology and Bioinformatics Ph.D. Qualifying Examination
Department of Computer Science, Virginia Tech
Exam committee
Philosophy of Examination
-
This exam is based on a set of CBB research papers.
Each student chooses his/her set of papers
from one of three research areas (see below).
-
Each student is responsible for reading
beyond the set of assigned papers
so as to thoroughly understand the assigned area.
-
Each student will be evaluated on his/her written paper synthesizing the area
and
via an oral exam.
Process and Format
- Students must register
for this exam, including the selection of an area (below).
Send your request to register to Lenwood S. Heath.
Students currently registered are here:
Student |
Area |
Reem Aldaihani
|
Alignment-Free Biological Sequence Analysis
|
-
Students must do the following:
-
Write a paper
written in 11 point or larger font
as directed by the area below.
-
On a specific day in February,
take an oral exam administered by the committee
and based
on the research papers and your paper.
-
Grading:
Written synthesis: 50%. Oral exam: 50%.
Schedule
- 11/15/2019: This page made available.
- 12/1/2019: Exam details made available.
- 12/6/2019: Last day to register for the exam.
Send your request to Lenwood S. Heath.
Specify which research area you have chosen.
- 1/30/2020: Synthesis paper due.
Send your paper as a PDF to Lenwood S. Heath.
- TBD: Oral exam.
- 2/15/2020: Exam results due to GPC.
Before each of the dates above make sure you check this page for updates.
Research Areas
Choose one of these three research areas.
To be announced by 12/1/2019.
- Alignment-Free Biological Sequence Analysis
Retrieve the
genome comparison exam description
and follow the instructions given there.
You will want
this paper.
- Computational Systems Biology
Retrieve the
computational systems biology instructions
and follow the steps given there.
You will need these three papers:
-
Gillespie01.pdf
-
Systems_Biology_2012.pdf
-
ToggleSwitch_Nature.pdf
- Network Biology
See the instructions
here for network biology.