16th - 18th June, 2010 - Guimarães - Portugal
1st Call for Papers The success of Bioinformatics in recent years has been prompted by research
in Molecular Biology and Molecular Medicine in initiatives like the Human Genome
project. These initiatives gave rise to an exponential increase in the volume
and diversification of data, including nucleotide and protein sequences and
annotations, high-throughput experimental data, biomedical literature, among
Systems Biology is a related research area that has been replacing the
reductionist view that dominated Biology research in the last decades, requiring
the coordinated efforts of biological researchers with those related to data
analysis, mathematical modelling, computer simulation and optimization.
The accumulation and exploitation of large-scale data bases prompts for new
computational technology and for research into these issues. In this context,
many widely successful computational models and tools used by biologists in
these initiatives, such as clustering and classification methods for gene
expression data, are based on Computer Science/ Artificial Intelligence (CS/AI)
techniques. In fact, these methods have been helping in tasks related to
knowledge discovery, modeling and optimization tasks, aiming at the development
of computational models so that the response of biological complex systems to
any perturbation can be predicted.
The 4th International Workshop on Practical Applications of Computational
Biology & Bioinformatics (IWPACBB) wants to promote the interaction among
the scientific community to discuss applications of CS/AI with an
interdisciplinary character, exploring the interactions between sub-areas of
CS/AI, Bioinformatics, Chemoinformatics and Systems Biology.
Brand new ideas will be greatly appreciated as long as relevant revisions and
actualizations of previously presented work, project summaries and PhD thesis
presented or not.
interested in participating and presenting his/her work in this workshop may do
it by sending a contribution. The papers should be written in English. There are
- Long papers:
A maximum length of 8 pages.
They must consist of original, relevant and previously unpublished sound
research results related to any of the topics of the conference.
- Short papers:
A maximum length of 4 pages.
They can be project reports, a summary of a PhD thesis, or work in
- Doctoral consortium:
PhD students are invited
to present the topic and progress of their research, in order to obtain
feedback from a panel of experts. The length of these papers should be no
longer than 8 pages.
Papers must be prepared according to the template of Springer
(MS-WORD or LaTex format) for the Advances in Intelligent and Soft Computing
papers accepted will be published in a special volume of Advances in Intelligent
and Soft Computing (Springer). Therefore, the papers will be indexed by ISI
Proceedings, DBLP, Ulrich's, SCOPUS, Zentralblatt Math, MetaPress and
Springerlink. At least one of the authors will be required to register and
attend the symposium to present the paper in order to include the paper in the
In order to submit a paper you must register as an author at IWPACBB
2010 conference management system (https://cmt.research.microsoft.com/PACBB2010/). All papers must be submitted in electronic form (PDF format,
original document word or latex and images).
- Paper submission deadline: 8th February, 2010
- Notification of acceptance: 8th March, 2010
- Final version submission: 29th March, 2010
- IWPACBB '2010 celebration: 16th-18th
areas of interest include, but are not limited to:
- Knowledge Discovery and Data Mining techniques for the
Analysis of high-throughput biological data (trancriptomics, proteomics,
- Biomedical Text Mining and Language Processing.
- Machine Learning and Pattern Recognition.
- Rough, Fuzzy and Hybrid Techniques.
- Hidden Markov Models.
- Bayesian Approaches.
- Artificial Neural Networks.
- Support Vector Machines.
- Evolutionary Computing.
- Case-Based Reasoning systems.
- Non-linear dynamical analysis methods and Intelligent
- Feature selection.
Biological areas of interest include, but are not limited
- Sequence analysis.
- Comparison and alignment methods.
- Motif, gene and signal recognition.
- Molecular evolution.
- Phylogenetics and phylogenomics.
- Determination or prediction of the structure of RNA and
protein in two and three dimensions.
- DNA twisting and folding.
- Gene expression and gene regulatory networks.
- Deduction of metabolic pathways.
- Microarray design and analysis.
- Functional genomics.
- Molecular docking and drug design.
- Computational problems in genetics such as linkage and
QTL analysis, linkage disequilibrium analysis in populations, and haplotype
- Molecular and cellular interactions.
- Emergence of properties in complex biological
- Visualization of biological systems and networks.
- Data and software integration.
- In silico optimization of biological systems.
- Metabolic engineering applications.
- Cell simulation and modelling.
- Metabolic, regulatory and signalling networks:
properties, dynamics, inference and reverse engineering.
Rocha - CCTC, Univ. Minho (Portugal)
Florentino Fdez-Riverola - University of Vigo
Scientific Committee (chairs)
Hagit Shatkay - Queens University,
Juan M. Corchado
- University of Salamanca,
E-mail and Web Site