The goal of this workshop is to
present cutting edge computer vision and/or pattern recognition methods with
applications to bioinformatics. While such research
is of interdisciplinary nature, this workshop will focus on computational aspects
of bioinformatics research. The aim of this workshop is to bring together an
interdisciplinary group of researchers from computer vision, pattern
recognition, and life science to discuss problems and to identify the
opportunities and challenges in applying computer vision and pattern
recognition to bioinformatics. High-quality, unpublished papers in the relevant
areas will be solicited.
Relevant topics for this workshop include, but not limited
to:
Ø Geometric techniques in protein structure analysis
Ø Protein surface representation and molecular docking
Ø Tracking in fluorescent imaging
Ø Superposition methods for protein structure comparison
Ø Multiple 3D protein structure alignment
Ø Protein structure classification
Ø Protein secondary structure prediction
Ø Microarray image analysis
Ø Sequence analysis
Ø Gene and regulatory signal discovery
Ø
Biological system
pathways and networks
Paper Preparation
Only original manuscripts will be considered. The papers
must be submitted in PDF format. The CVPR 2005 Author Instructions (www.cs.duke.edu/cvpr2005) contain
detailed guidelines about page limits, font sizes, and overall page layout. We
ask that you do not deviate from these guidelines since this will be a cause
for paper rejection without review.
The paper must not include any information that
would indicate the author's identity (even references to authors' previous work
should be left blank).