The session "Human Genome Variation: Linking Genotypes to Clinical Phenotypes" aims to provide a timely forum on the computational challenges to correlate the impending flood of high-throughput genotyping and gene expression profiling data with clinical phenotypes, and to address the forthcoming problems in the utilization of this information in human genetics, pharmacogenetics, populational genetics, and clinical studies.
We solicit contributions covering any aspect of the use of natural language processing in biology applications. Areas of interest are:
+(65) 874 8406
This session is intended to be a forum for addressing the advances and needs of computational tools for modeling and managing genomic, pathway and interaction information, including metabolic pathways, signal-transduction pathways, genetic regulatory circuits, protein-protein interactions, and other types of biological interactions.
Pedro R. Romero
This session focuses on topics of immediate and emerging importance to the phylogenetic analysis of molecular data in the post-genomic era. The session will bring together researchers from the biological, computational and mathematical sciences with the goal of achieving a better understanding of the current issues and challenges in phylogenetics.
This session provides a forum to present new algorithms and methods for computational biology, especially those aimed at addressing efficiency, scalability, and cost issues associated with high-performance computing. Computational methods for sequence analysis, structure and function prediction, neural information theory, whole genome analysis, pharmacgenomics, expression microarrays, and large structure and in-vivo imaging are examples of topics of interest.
This session examines how structural disorder and flexibility contribute to protein function. Potential topics include: computational analysis of disordered and flexible regions of proteins, biophysical methods of analyzing disordered regions in proteins, computational and biophysical characterization of order to disorder transitions, and novel methods of predicting and assessing protein disorder.
The session seeks computational approaches to understanding the DNA<->Protein<->DNA cycle by which DNA and proteins co-exist, co-regulate, and co-create each other.
Cochairs: Richard Goldstein and David Pollock
This session will have two themes. One is fiction science, i.e. trying to extrapolate current trends and predict what are some of the possible scenarios for the future of mankind and civilization, regardless of their desirability. The second theme is bioethics and will address contemporary issues such as stem cell research, human cloning, and gene/genome patents.
This session will be organized as a discussion only, and we are not expecting full papers. Please contact the session chairs if you are interested in participating.