Call for Papers: JOURNAL OF FUZZY SETS AND SYSTEMS, Special issue on Bioinformatics

[Natalio Krasnogor <Natalio.Krasnogor@nottingham.ac.uk>]

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JOURNAL OF FUZZY SETS AND SYSTEMS
CALL FOR PAPERS


Special Issue on Fuzzy Sets and Systems in Bioinformatics

Guest Editors:
Dr. David Pelta, University of Granada, Spain
Dr. Natalio Krasnogor, University of Nottingham, UK


A forthcoming issue of the Journal of Fuzzy Sets and Systems will be
devoted to the state-of-art in the application of fuzzy sets and systems
to bioinformatics, highlighting new and promising research areas.

Bioinformatics lies at the interface between biology, computer science
and information technology. The ultimate goal of the field is to enable
the discovery of new biological insights as well as to create a global
perspective from which unifying principles in biology could be
discerned. Moreover, computational and mathematical insights gained in
the pursuit of bioinformatics excellence have already impacted on other
areas of the mathematical and computer sciences.


The application of fuzzy sets and systems (FSS) to bioinformatics gives
raise to an emergent area that is growing fast as both scientific
communities met. The use of FSS in Bioinformatics could be fruitful in
at least two ways:

·     Providing the formal tools to deal with the aspects of
uncertainty,
vagueness and fuzziness that are inherent to bioinformatics problems
·     Improving reliability and robustness by hybridising with other
optimisation/machine learning techniques

The purpose of this special issue is to highlight and explore some of
the more recent theoretical and practical advances in the field of Fuzzy
Sets and Systems with an application to Bioinformatics and Computational
Biology.

Original, high-quality papers providing insights and results on the
application of FSS to bioinformatics are sought,   addressing issues
including(but not restricted to):

·     Theoretical methods and models for FSS in bioinformatics.
·     Novel hybridisation methods with other optimisation/machine
learning
techniques.
·     Data mining, Knowledge discovery and interpretation of biological
data
repositories.
·     Phylogenetic reconstruction
·     Structure/Sequence analysis/prediction for bio-molecules.
·     Fold recognition, pattern recognition in biomolecules.
·     Performance comparisons with other optimisation/machine learning
techniques.
·     Network reconstruction for development, expression, metabolism,
catalysis, regulation, etc.
·     Methodologies/philosophy/pedagogy of bioinformatics as a
multidisciplinary activity.
·     Hardware implementation of fuzzy or fuzzy/hybrid systems for 
·     Bioinformatics applications


Each submitted article would be rigorously evaluated following the
revision process normally applied in the Journal of Fuzzy Sets and
Systems. This process will be based on assessing the originality,
significance, technical soundness, clarity of exposition and level of
contribution of FSS techniques and methods that are present in the
submitted paper.
The article should preferably be written using Elsevier Science's
document class 'elsart', or alternatively the standard document class
'article'.
See the journal web page:  http://www.elsevier.nl/locate/fss 
for more information about formatting. 
Although the format for this first submission is not strict, each
accepted article should be written in LaTex following the journal
guidelines.

Contributions should be sent electronically, (as a single PS or PDF
file) to  both of the addresses indicated below:

Dr David A. Pelta
E mail: dpelta@decsai.ugr.es 
Department of Computer Science and A.I
ETSI Informatica
University of Granada, Spain

Dr Natalio Krasnogor
E mail: Natalio.Krasnogor@nottingham.ac.uk 
Automated Scheduling, Planning and Optimisation Group   
School of Computer Sciences and Information Technology
University of Nottingham, UK



Important Dates:

Deadline for Submission: Dec, 15 2003
Notification of acceptance: March, 20 2004
Deadline for final version (in Elsevier latex format): May, 1 2004