INDUSTRY
HiCOMB 2007 Call for Participation
HiCOMB 2007, 6th IEEE International Workshop on High Performance Computational Biology held in conjunction with the International Parallel and Distributed Processing Symposium March 26, 2007, Long Beach, California.
HiCOMB 2007 Schedule
(Please see its Web site for any updated scheduling information.)
8:45- 9:00: WELCOME
Ananth Grama and Shankar Subramaniam, Program Co-Chairs
David A. Bader and Srinivas Aluru, Workshop Co-Chairs
9:00-10:00: KEYNOTE TALK
Optical Mapping of the Maize Genome
Michael S. Waterman
10:00-10:15: BREAK
10:15-12:15: SESSION 1: Biomolecular Simulation
Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures
Jeremy Meredith, Sadaf Alam, Jeffrey S. Vetter
Data-Driven Time-Parallelization in the AFM Simulation of Proteins
Lei Ji, Hugh Nymeyer, Ashok Srinivasan, Yanan Yu
Biomolecular Path Sampling Enabled by Processing in Network Storage
Paul Brenner, Justin Wozniak, Jesus Izaguirre, Aaron Striegel, Douglas Thain, Jeff Peng
On the path to enable multi-scale biomolecular simulations on Petaflop supercomputer
with multi-core processors
Sadaf Alam, Pratul Agarwal
12:15- 1:30: LUNCH (on your own)
1:30- 3:00: SESSION 2: Bioinformatics and Homology Search
Exploring the viability of the Cell Broadband Engine for bioinformatics applications
Vipin Sachdeva, Mike Kistler, Evan Speight, Tzy-Hwa Kathy Tzeng
Preliminary results in accelerating profile HMM search on FPGAs
Arpith Jacob, Joseph Lancaster, Jeremy Buhler, Roger Chamberlain
High Performance Database Searching with HMMer on FPGAs
Tim Oliver, Leow Yuan Yeow, Bertil Schmidt
3:00- 3:30: BREAK
3:30- 5:00: SESSION 3: Protein Interaction Networks and Virus Structure
A Graph-Theoretic Analysis of the Human Protein-Interaction Network
Using Multicore Parallel Algorithms
David A. Bader, Kamesh Madduri
RNAVLab: A unified environment for computational RNA structure analysis
based on grid computing technology
Michela Taufer, Ming-Ying Leung, Kyle L. Johnson, Abel Licon
An Automated Data Processing Pipeline for Virus Structure Determination at High Resolution
Chen Yu, Dan C. Marinescu, John P. Morrison, Brian C. Clayton, David A. Power
5:00: END OF WORKSHOP
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HiCOMB 2007 Keynote Talk
Optical Mapping of the Maize Genome
Michael S. Waterman
University of Southern California
Abstract:
A new technology, optical mapping, is used to infer the genome map of
the location of short sequence patterns called restriction sites. The
technology, developed by David Schwartz, allows the visualization of
the maps of randomly located single molecules of length from one-half
to one million base pairs. The genome map is constructed from
overlapping these shorter maps. The substantial mathematical and
computational challenges come from modeling the measurement errors and
from the process of map assembly. We will report on our experience
with assembling the maize genome.
Speaker Biography:
Michael Waterman holds an Endowed Associates Chair at USC. He came to
USC in 1982 after positions at Los Alamos National Laboratory and
Idaho State University. He has a bachelors in Mathematics from Oregon
State University, and a Ph.D. in Statistics and Probability is from
Michigan State University. He was named a Guggenheim Fellow (1995),
was elected to the American Academy of Art and Sciences (1995), and
was elected to the National Academy of Sciences (2001). Also he is a
Fellow of the American Association for the Advancement of Science and
Fellow of the Institute of Mathematical Statistics. He has held
visiting positions at the University of Hawaii (1979-80), the
University of California at San Francisco (1982), Mt. Sinai Medical
School (1988), Chalmers University (2000), and in 2000-2001 he held
the Aisenstadt Chair at University of Montreal. He is
Professor-at-large at the Keck Graduate Institute of Life Sciences and
in fall 2000 he became the first Fellow of Celera Genomics In 2002 he
received a Gairdner Foundation International Award and in 2005 he was
elected to the French Acadimie des Sciences. Beginning Fall 2003,
Professor Waterman became Faculty Master of Parkside International
Residence College. PIRC is a residental college that is home to over
600 undergraduates and serves as a center for internationally oriented
culutral, academic and social events. Professor Waterman works in the
area of Computational Biology, concentrating on the creation and
application of mathematics, statistics and computer science to
molecular biology, particularly to DNA, RNA and protein sequence
data. He is the co-developer of the Smith-Waterman algorithm for
sequence comparison and of the Lander-Waterman formula for physical
mapping. He is a founding editor of Journal of Computational Biology,
is on the editorial board of seven journals, and is co-author of the
texts Computational Genome Analysis: An Introduction and Introduction
to Computational Biology: Maps, Sequences and Genomes.
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Workshop Co-Chairs:
-------------------
David A. Bader, Georgia Institute of Technology
Srinivas Aluru, Iowa State University
Program Co-Chairs:
------------------
Ananth Grama, Purdue University
Shankar Subramaniam, University of California, San Diego
Program Committee:
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Alberto Apostolico, Accademia dei Lincei & Georgia Tech
Joel Bader, Johns Hopkins University
Vineet Bafna, University of California San Diego
Jesus Izaguirre, University of Notre Dame
George Karypis, University of Minnesota
Daisuke Kihara, Purdue University
Vipin Kumar, University of Minnesota
Satoru Miyano, HGC, University of Tokyo
Ben Raphael, Brown University
Naren Ramakrishnan, Virginia Tech
Joel Saltz, Ohio State
Mona Singh, Princeton University
Tandy Warnow, University of Texas, Austin
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