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|
 This short course will focus on several different ways that the analysis
of
molecular data is being applied to solve current biological problems
in
areas such as medicine, agriculture, conservation, and evolution. The
relationships between evolutionary theory and the analysis of molecular
sequence and structure data will be addressed. A wide range of
sub-disciplines that use bioinformatic analysis will be drawn upon. The
focus will be on learning about the causal bases for bioinformatic analyses
along with a philosophy of education: problem posing, problem-
solving, and peer review/publication (BioQUEST's
three P's ).
The laboratory sessions deal with medical, cell
biology, and conservation examples. The lectures relate to: Evolutionary
Bioinformatics: Orthology,
Paralogy, Xenology, Phylogenetic Probes and Phylogenetic Profiling;
BioQUEST's Curricular Philosophy: Problem Posing, Problem Solving and
Peer
Review / Publication; and, Theoretical, mathematical and computational
aspects that complicate bioinformatics: homoplasies, computational
complexity, numerous tree topologies, scoring multiple sequence alignments,
long branch attraction problems, rate variations. The discussions focus
on
how to analyze data, how to implement bioinformatics investigations across
the curriculum, and how to develop sustained collaboration. For more details,
visit the BEDROCK home page and follow
the links to past workshops.
The workshop is designed for:
- Biologists who are interested in implementing
bioinformatics across their biology curriculum by incorporating bioinformatics
into a variety of courses, using a problem-solving approach, and
who enjoy collaborative learning such as has been developed and diffused
by the BioQUEST Curriculum Consortium.
- Mathematicians and computer scientists who
are already involved in teaching bioinformatics or computational
molecular biology are welcome to come and interact with biologists
so that they can develop a better idea of what questions biologists
outside of genomics have with respect to teaching and learning elements
of bioinformatics appropriate to their sub-discipline of biology.
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This short course serves several purposes:
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| As a learning resource for faculty
across the biological sciences who
are interested in developing their understanding of the biological
(as compared to the computational or mathematical) aspects of bioinformatic
analyses. |
| As a forum for undergraduate teachers
of bioinformatics to collaborate
in the development of biology or bioinformatics courses and/or curricula. |
| As an opportunity for developing undergraduate
research programs in
bioinformatics. |
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Workshop
Leaders
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|
John R. Jungck
Tia Johnson
Tony Weisstein
|
Beloit College,
Wisconsin
Department
of Biology
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Rama Viswanathan
|
Beloit College, Wisconsin
Chemistry and
Math & Computer Science Departments |
| Sam
Donovan |
University of Pittsburgh
Department of Instruction and Learning |
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Speakers
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| Gregory B. Martin |
Professor, Department of Plant Pathology
Cornell University
Martin received his PhD from Michigan State University and held
faculty positions in Agronomy at Purdue University. His research
at Cornell
since 1998 focuses on plant molecular biology, plant genomics, bacterial
genomics, plant pathology, plant disease resistance, signal transduction,
and gene expression profiling. |
| Alan Collmer |
Professor, Department of Plant Pathology
Cornell University
Collmer received his PhD from Cornell, held faculty positions
in Botany at the University of Maryland, returning to Cornell
in 1994. His research focuses on bacterial genomics, mechanisms,
pathogenic
microbiology,
and
protein
secretion. |
| Qi Sun |
Senior Research Associate
Computational Biology Service
Unit, Cornell University
After receiving a PhD in Genetics from the California Institute
of Technology, Sun completed a postdoctoral fellowship at Harvard
Medical School. He has focused on computational support for biology
research projects since joining the Cornell Theory Center
in 2001. |
| Jaroslaw
Pillardy |
Senior Research Associate
Computational Biology Service Unit, Cornell University
Pillardy received his Ph.D. in theoretical chemistry
at Warsaw University, Warsaw, Poland. After teaching for five years
at Warsaw University, he came to Cornell University's chemistry department
in 1996. His current research is in the fields of protein structure
prediction, molecular force field design and optimization, global
optimization
and crystal structure prediction. |
| Dave Schneider |
Computational Biologist
USDA Agricultural Research Service
Dave Schneider has worked on computational problems arising
in chemistry, physics, engineering and biology for the past 15
years at IBM, the Center for Supercomputing Research and Development
at the University of Illinois at Urbana-Champaign, the Theory
Center at Cornell University, and the USDA Agricultural Research
Service. Currently he is involved in a large interdisciplinary
research project focusing on the regulation of gene and protein
expression in Pseudomonas syringae, an important plant pathogen.
Schneider is presently working on his Ph.D. in physics
from Jagellonian University in Krakow, Poland. |
Sponsored
by a grant from the National Science Foundation (DUE/CCLI-ND)
and
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