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Mon, 13 Sep 2010 17:56:00 -0400 |
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1.0 |
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multipart/alternative;
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George Mason University |
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To: Biology Graduate Students < [log in to unmask]>,
Anna Baranova < [log in to unmask]>, Daniel N Cox < [log in to unmask]>,
Alan H Christensen < [log in to unmask]>,
Chip Petricoin < [log in to unmask]>,
Geraldine M Grant < [log in to unmask]>,
Karl J Fryxell < [log in to unmask]>,
Monique Van Hoek < [log in to unmask]>, Yuntao Wu < [log in to unmask]>,
Charles L Bailey < [log in to unmask]>, Jim Willett < [log in to unmask]>,
Serguei Popov < [log in to unmask]>, Lance Liotta < [log in to unmask]>,
Valery Soyfer < [log in to unmask]>,
Kylene Kehn-Hall < [log in to unmask]>,
Fatah Kashanchi < [log in to unmask]>,
[log in to unmask],
[log in to unmask], Tiffany C Sandstrum
< [log in to unmask]>
cc: "Gail L. Hodges" < [log in to unmask]> |
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> *Dissertation Defense Announcement:
> To: The George Mason University Community*
>
> *Michael P. Walsh
> PhD Bioinformatics Candidate
> *
> *Date: Monday September 27, 2010
> Time: 10:00 a.m.
> Place: George Mason University
> ** Room 327, Occoquan Bldg.
> Prince William campus <http://www.gmu.edu/resources/visitors/findex.html>
>
> Dissertation Chair: Dr. Donald Seto
> Committee members: Dr. James D. Willett, Dr. Patrick Gillevet, Dr. Morris Jones*
>
> *Title: "Molecular Examination of the Evolution and Serotypes of Human Adenoviruses**"*
>
> A copy of the dissertation is on reserve in the Johnson Center
> Library, Fairfax campus. The doctoral project will not be read at the
> meeting, but should be read in advance.
>
> All members of the George Mason University community are invited to
> attend.*
> *
>
> *ABSTRACT:
> *
> Human adenoviruses (HAdVs) are important human pathogens. Recent
> advances in genome sequencing and sequence analysis have made it
> possible to study the evolution of these viruses in new and
> interesting ways. These technologies have been used to study
> recombinant and non-recombinant HAdVs. Data from studies of these
> genomes have also revealed possibilities for improving the current
> methods for classifying HAdVs.
>
> ###
>
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