CFPFrom: jason@homer.njit.edu (Dr. Jason Tsong-Li Wang)Date: Tue, 3 Oct 2000 01:01:17 -0400 Subject: CFP: Special Issue on Bioinformatics and Biological Data Management Information Systems ` http://www.cs.rpi.edu/~zaki/IS.html Editors Mohammed J. Zaki Jason T. L. Wang Rensselaer Polytechnic Institute New Jersey Institute of Technology zaki@cs.rpi.edu jason@cis.njit.edu http://www.cs.rpi.edu/~zaki http://www.cis.njit.edu/~jason INTRODUCTION: Bioinformatics is the science of storing, extracting, organizing, analyzing, interpreting, and utilizing information from biological sequences and molecules. It has been mainly fueled by advances in DNA sequencing and genome mapping techniques. The Human Genome Project has resulted in rapidly growing databases of genetic sequences. New techniques are needed to analyze, manage and discover sequence, structure and functional patterns or models from these large sequence and structural databases. High performance data analysis algorithms are also becoming central to this task. Bioinformatics provides opportunities for developing novel data analysis methods. Some of the grand challenges in bioinformatics include protein structure prediction, homology search, multiple alignment and phylogeny construction, genomic sequence analysis and gene finding, as well as applications in gene expression data analysis, drug discovery in pharmaceutical industry, etc. For example, in protein structure prediction, one is interested in determining the secondary, tertiary and quaternary structure of proteins, given their amino acid sequence. Homology search aims at detecting increasingly distant homologues, i.e., proteins related by evolution from a common ancestor. Multiple alignment and phylogenetic tree construction are interrelated problems. Multiple alignment aims at aligning a whole set of sequences to determine which subsequences are conserved. This works best when a phylogenetic tree of related proteins is available. Finally, gene finding aims at locating the genes in a DNA sequence. CALL FOR PAPERS: Due to the surge of interest in this exciting and rapidly expanding field, Information Systems is planning a special issue on Bioinformatics and Biological Data Management. We solicit papers with important new insights and experiences concerning biological data analysis and modeling. Topics include, but are not limited to, the following: DATABASE TECHNOLOGY: Data mining and warehousing as applied to biology Data types and modeling needed for biological analysis Interactive exploration and visualization for biology New indexing and search structures with applications to biology BIOLOGICAL PROBLEMS THAT MIGHT REQUIRE INNOVATIVE DATABASE PERSPECTIVES: Evolution and phylogenetic analysis Protein structure prediction Molecular sequence management and alignment Recognition of genes and regulatory elements Interpretation of large-scale gene expression data Whole genome comparative analysis and synthesis Modeling of biochemical pathways Drug design and combinatorial libraries Papers should be at most 30 pages long, double-spaced, in font size 10 or larger with one-inch margins on all sides. Papers in PDF/PS format can be sent to zaki@cs.rpi.edu by email. If electronic submission is not possible, please send five hard copies to the following address: Mohammed J. Zaki Computer Science Department Rensselaer Polytechnic Institute Troy, NY 12180 USA IMPORTANT DATES: 9/1/2001 Final deadline for submission of papers 12/1/2001 Notification of 1st-round referee results 2/1/2002 Deadline for submission of revised papers 3/15/2002 Notification of final acceptance/rejection 4/15/2002 Deadline for having final papers at the publisher |
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