|
|
|
|
|
4:30 – 6:00 PM
|
Welcome reception and introductions (light dinner provided)
|
|
6:00 – 6:15 PM
|
Welcome from Jeff Bond and Stephen
Everse
Brief introduction to workshop, John R. Jungck, PI, BEDROCK
|
|
6:15 – 7:15 PM
|
HIV in Evolution
Sam Donovan, Director, BEDROCK
Tony Weisstein,
Bioinformatics Research Associate, BEDROCK
|
|
7:15 – 7:30 PM
|
Break |
|
7:30– 9:00 PM
|
Bioinformatics Problem Solving Session #1
Exploring HIV change within and between patients
Drawing biologically meaningful inferences from molecular data -
forensics cases
Sam Donovan and Tony Weisstein
|
|
|
|
9:00 – 9:45 AM
|
Overview of The BioQUEST Curriculum Consortium and The BEDROCK
Project
John R. Jungck and Sam Donovan
|
|
9:45 – 10:15 AM
|
Collaboratories: Models and Metaphors for Online Collaboration
Tia Johnson, Coordinator of Faculty Collaborations, BEDROCK
|
|
10:15 – 10:30 AM
|
Break
|
|
10:30 – 11:30 AM
|
Bioinformatics Problem Solving Session #2
Mapping Multiple Sequence Alignments onto Structures with Protein
Explorer
Tia Johnson and Sam Donovan
|
|
11:30 – 1:15 PM
|
Lunch and group work
|
|
1:15 – 2:30 PM
|
Toward a Theoretical Basis for Bioinformatics: Genetic Codes as
Codes
John R. Jungck
Bioinformatics has largely been developed upon an empirical basis
of statistical patterns; I believe that coding and information theoretical
perspectives along with evolution and biophysics may help us develop
a more theoretically grounded bioinformatics. Mathematical properties
of genetic codes will be demonstrated with respect to their efficiencies,
rates of transmission, detectability and correctability and of errors,
symmetries, and origins by employing coding theory (Baudot codes,
Gray codes, Hamming codes, Huffman Codes (Fractals and Power Laws),
comma free codes, etc.), algorithmic complexity, abstract algebra,
graph theory, combinatorics, information theory, and phylogenetic
systematics of sequences. Genetic codes become much more understandable
and elegant to biologists when they are not considered as mere ciphers,
but are instead understood from three perspectives: codes per se,
physical chemical interactions, and evolutionary selective pressures.
In addition, I will illustrate some of the alternative distance
metrics based upon different mathematical representations of genetic
codes which have utility in genomic data base searching (comparative
sequence analyses) and considerations of different evolutionary
mechanisms.
|
|
2:30 – 2:45 PM
|
Break
|
|
2:45 – 3:15 PM
|
Bioinformatics Problem Solving Session #3
Lisa
Lambert, Associate Professor of Biology, Chatham College
"A case study in working with protein families"
Transferrins (TF) are a large family of iron binding
proteins. There roles, however, appear to be quite diverse. Serum
TF is the main iron transporter found in the plasma, whereas the
function of lactoferrin (found in milk & other secretions) remains
a mystery. The biological role of ovotransferrin (found in egg whites)
appears to be one of protection. Our goal today will be to look
at the structural similarities and differences to explore their
functionally different roles.
|
|
3:15 – 4:30 PM
|
Group work and
poster preparation |
|
4:30 – 5:30 PM
|
Social hour
|
|
5:30 PM
|
Supper on your own
|
|
|
|
8:00 AM
|
Facilities open |
|
9:00 – 9:45 AM
|
Group progress reports using mini-posters
|
|
9:45 – 10:45 AM
|
Structural Biology: Can we predict structures?
Stephen
Everse, Assistant Professor, Department of Biochemistry, University
of Vermont College of Medicine
Download the Powerpoint: everse_040503.ppt
Download the movies: N-lobe of serum transferrin,
Superposition of N & C-lobes of transferrin
|
|
10: 45 – 11:00 AM
|
Break
|
|
11:00 – 12:30 PM
|
Bioinformatics Problem Solving Session #4
Fibrinopeptides
Stephen Everse and Tony Weisstein
|
|
12:30 – 1:15 PM
|
Lunch and group work and discussions
|
|
1:15 – 2:15 PM
|
Navigating NCBI resources
Jeff
Bond,
Research Assistant Professor, Department of Microbiology and Molecular
Genetics, University of Vermont College
of Medicine
The NCBI web site, http://ncbi.nlm.nih.gov,
hosts a wide variety of data (including data related to scientific
publications, biological sequences, structures, taxonomy, genetic
disorders, and gene expression) as well as analysis tools. The talk
will include a tour of NCBI resources that illustrates their usefulness
in undergraduate research projects.
|
|
2:15 – 2:30 PM
|
Break
|
|
2:30 – 3:00 PM
|
Introduction
to web projects. Instructions on posting
materials to be shared during the group session on Sunday. |
|
3:00 – 5:30 PM
|
Bioinformatics
Problem Solving Session #5
Open work session on the project of your choice. Additional
modules from which to choose:
- One Cell Three Genomes
- Glycosidases
- Chimpanzee Conservation Genetics
|
|
5:30 PM
|
For those who are interested, we can have supper as a group.
|
|
|
|
8:00 AM
|
Facilities open. |
|
9:00 – 10:30 AM
|
Group Presentations |
|
10:30 – 12 PM
|
Open Discussion
- Sharing information about personal projects and courses
- How to contribute and stay involved
- Distribute additional papers and CDs
- Feedback and wrap-up
|
For more
information please contact Sam Donovan
or Sue Risseeuw (608/363-2012).
Sponsored
by a grant from the National Science Foundation (DUE/CCLI-ND),
the BioQUEST Curriculum Consortium,
The Vermont Genetics Network (VGN) - Biomedical Research Infrastructure
Network (BRIN) and

|
|