-------- Original-Nachricht -------- Betreff: [computational.science] Speical Issue on Bioinformatics: Int. J. Computer Mathematics Datum: Wed, 14 Jun 2006 17:03:14 +0100 Von: Zidong Wang Zidong.Wang@brunel.ac.uk Antwort an: Zidong.Wang@brunel.ac.uk Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
CALL FOR PAPERS International Journal of Computer Mathematics (see www.tandf.co.uk/journals/titles/00207160.asp)
Special Issue on Bioinformatics
Advances in genome sequencing, microarrays, proteomics and functional and structural genomics have been creating a huge amount of data, which allow significant learning and experimentation to be carried out using a multidisciplinary approach. Bioinformatics has already become an ideal research area for computer scientists, mathematicians and biologists to manage, analyze, and interpret functional information from biological data, sequences and structures. Sophisticated computer system theories and computing algorithms have been exploited or emerged in the general area of computer mathematics, such as analysis of algorithms, artificial intelligence, automata, computational complexity, computer security, concurrency and parallelism, data structures, knowledge discovery, DNA and quantum computing, randomisation, semantics, symbol manipulation, numerical analysis and mathematical software, etc.
This special issue aims to bridge the gap between computer mathematics and bioinformatics. We believe that computer mathematics would provide powerful tools for analyzing, predicting, and understanding data from gene expression, drug design and other emerging genomic and proteomic technologies. In this special issue, we encourage papers on novel computer-based mathematical theories or algorithms (e.g., classification, regression, clustering, probabilistic learning, inductive logic programming, reinforcement learning) with specific applications in bioinformatics.
Topics include, but are not limited to: (1) Effective data mining techniques: clustering, Bayesian networks, evolutionary computation, neural networks, pattern/outlier detection and analysis, case-based reasoning, personalisation, and statistical pattern recognition, etc. (2) Temporal reasoning: applications of intelligent data analysis in bio-signal processing, interpretation of time-ordered data (derivation and revision of temporal trends and other forms of temporal data abstraction) (3) Information visualization: visualization of biological data and visualization of the results from intelligent data analysis (4) Construction of decision models to support decision making. (5) Dynamical gene network modelling, short time series analysis.
Submission and Review Process
Interested authors please submit an abstract (one-page maximum) of your paper to Dr. Zidong Wang (Zidong.Wang@brunel.ac.uk), addressing which computer-based mathematical theory or algorithm is used on which bioinformatics problem. Please do NOT send full papers at this stage. Around 10 abstracts will then be selected and the authors will be asked to submit full papers, which will go through a peer review process.
Guest Editor:
Dr. Zidong Wang Department of Information Systems and Computing Brunel University Uxbridge, UB8 3PH, United Kingdom http://people.brunel.ac.uk/~csstzzw/ Tel: ++44/1895 266021 Fax: ++44/1895 251686
Schedule:
Abstract Submission Deadline: June 30, 2006 Full Paper Submission: September 30, 2006 Notification of Acceptance/Rejection: January 31, 2007 Final Paper Submission: February 28, 2007 Target Publication Date: Mid 2007
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