Main track

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PACBB welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology.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
Molecular evolution
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
Functional genomics
Biomarker identification
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
Biomedical ontologies
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
Health-care applications
Bio imaging

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
Bayesian Approaches
Artificial Neural Networks
Support Vector Machines
Evolutionary Computing
Case-Based Reasoning systems
Non-linear dynamical analysis methods and Intelligent signal processing
Feature selection

Biological areas of interest include, but are not limited to:

Next generation sequencing
Comparison and alignment methods
Motif, gene and signal recognition
Molecular evolution
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
Functional genomics
Biomarker identification
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
Biomedical ontologies
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
Health-care applications
Bio imaging

Format

All papers must be formatted according to the LNNS template, with a maximum length of 10 pages, including figures and references:

Submission

All proposed papers must be submitted in electronic form (PDF format) using the PACBB conference management system.

Review process

PAAMS 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

Publication

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.

Accepted papers will be published by Springer Verlag in the Lecture Notes in Networks and Systems.