PACBB 2018 : Practical Applications of Computational Biology & Bioinformatics
Call For Papers
The success of Bioinformatics in recent years has been prompted by research in Molecular Biology and Molecular Medicine in several initiatives. 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 many others.
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 modeling, 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 12th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) aims 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 in these fields are sought, as well as substantial and relevant revisions and actualizations of previously presented work, project summaries and PhD thesis presented or not.
- Review process
PACBB welcomes the submission of application papers with preference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity.
The papers must consist of original, relevant and previously unpublished sound research results related to any of the topics of the conference
- Submitting papers
PACBB papers must be formatted according to the Springer LNCS Template, with a maximum length of 8 pages in length, including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the Paper Submission Page.
Accepted papers will be included in PACBB Proceedings. 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 conference proceedings.
All accepted papers will be published by AISC series of Springer Verlag.
More information: www.pacbb.net
LIST OF TOPICS
PACBB welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology. The papers can be presented from a formal, methodological, technical or applied point of view.
Biological areas of interest include, but are not limited to:
Next generation sequencing
Comparison and alignment methods
Motif, gene and signal recognition
DNA twisting and folding
High-throughput data analysis (transcriptomics, proteomics, etc)
Phylogenetics and phylogenomics
Determination or prediction of the structure of RNA and proteins
Gene expression data analysis
Identification of metabolic pathways
Molecular docking and drug design
Computational problems in genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, haplotype determination, SNPs
Molecular and cellular interactions
Emergence of properties in complex biological systems
Visualization of biological systems and networks
Data and software integration
In silico optimization of biological systems
Metabolic engineering applications
Cell simulation and modeling
Metabolic, regulatory and signaling models/ networks: properties, dynamics, inference/ reconstruction
Metabolomics/ metabolic fingerprints
Computacional areas of interest include, but ar not limited to:
Knowledge Discovery and Data Mining techniques
Text Mining and Language Processing
Machine Learning and Pattern Recognition
Rough, Fuzzy and Hybrid Techniques
Hidden Markov Models
Artificial Neural Networks
Support Vector Machines
Case-Based Reasoning systems
Non-linear dynamical analysis methods and Intelligent signal processing
Mohd Saberi, Universiti Teknologi Malysia, Malysia
Miguel Rocha, University of Minho, Portugal
Juan F. De Paz, University of Salamanca, Spain
- Organising committee
Tiago Pinto, Instituto Superior de Engenharia do Porto, Portugal
Florentino Fernández, Universidad de Vigo, Spain
The aim of the Doctoral Consortium is to provide a frame where students can present their on going research work and meet other students and researchers, and obtain feedback on future research directions.
The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation.
All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim to provide detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings.