CMBSB – Computational Methods in Bioinformatics and Systems Biology

The success of bioinformatics in recent years has been prompted by research in molecular biology and medicine in initiatives like the human genome project. These initiatives gave rise to an enormous increase in the volume and diversification of data, including protein and genomic sequences, high-throughput experimental and biomedical literature. Systems Biology is a related field, devoted mainly to efforts in cell modelling, that requires 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 databases prompts for new computational technologies 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 experimental data, are based on Artificial Intelligence (AI) techniques. In fact, these methods have been helping in tasks related to knowledge discovery, modelling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted. Hence, this track brings the opportunity to discuss applications of AI with an interdisciplinary character, exploring the interactions between sub-areas of AI, Bioinformatics and Systems Biology.

Topics of interest

- Knowledge Discovery and Data Mining techniques
- Text Mining and Language Processing
- Machine Learning and Pattern Recognition
- Rough, Fuzzy and Hybrid Techniques
- Artificial Neural Networks
- Bayesian Approaches
- Hidden Markov Models
- Support Vector Machines
- Evolutionary Computing
- Non-linear dynamical analysis methods and Intelligent signal processing
- 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
- Inference/ reconstruction of metabolic/ regulatory networks or models
- Analysis of high-throughput biological data (trancriptomics, proteomics, metabolomics, fluxomics)
- Functional genomics
- Molecular docking and drug design
- Problems in population genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, and haplotype determination
- Metabolic engineering applications

Paper Submission

Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Programme Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. All accepted papers will be published in the local proceedings. Improved versions of the best accepted papers will be invited to publish in an international journal (to be confirmed).

Organizing Committee

José Luis Oliveira, DETI, Universidade de Aveiro, Portugal
Miguel Rocha, IST, Lisboa, Portugal
Rui Camacho, FEUP, Portugal
Sara Madeira, IST, Lisboa, Portugal

Program Committee

Alexessander Alves – Imperial College, London, UK
Paulo Azevedo – Universidade do Minho, Portugal
Rui Brito – Universidade Coimbra, Portugal
Chris Bystroff – Rensselaer Polytechnic Institute, USA
Andre Carvalho – University of Sao Paulo Sao Carlos, Brasil
Vitor Costa – LIACC, FCUP, Universidade do Porto, Portugal
Francisco Couto – Faculdade de Ciencias da Univ. Lisboa, Portugal
Fernando Diaz – Univ. Valladolid, Spain
Ines Dutra – UFRJ, Brasil
Nuno Fonseca – EMBL-EBI, UK
Daniel Glez-Peña – University of Vigo, Spain
Ross King – University of Wales, Aberystwyth Wales, UK
Stefan Kramer – Technische Universitat Munchen, Germany
Arlindo Oliveira – IST/ INESC-ID, Lisbon, Portugal
Florentino Fdez-Riverola – University of Vigo, Spain
Luis M. Rocha – Indiana University(USA)
Marie-France Sagot – Inria Rhône-Alpes, Université Claude Bernard, Lyon I, France
Mario Gaspar Silva – IST, Portugal
Jorge Vieira – IBMC, Portugal
Rui Mendes – Universidade do Minho
Ana Teresa Freitas – IST / INESC ID, Lisbon, Portugal
Marcelo Maraschin – UFSC, Brazil
Alexandra Carvalho – IT/ IST, Portugal
João Carriço – IMM/ FMUL, Portugal
Alexandre Francisco – IST/ INESC-ID; Portugal
Susana Vinga – INESC-ID, Portugal
Sérgio Matos – Univ. Aveiro, Portugal

Contacts

Miguel Rocha
Dep. Informatica/ CCTC, Campus Gualtar, Universidade do Minho
4710-057 Braga
Phone: ( 351) 253 604 456
Fax: ( 351) 253 604 471
e-mail: mrocha@di.uminho.pt

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