11th International Conference on Practical Applications of Computational Biology & Bioinformatics PACBB'17

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活动简介

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 11th 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.

征稿信息

重要日期

2017-02-13

摘要截稿日期

2017-03-13

摘要录用日期

2017-02-13

初稿截稿日期

2017-03-13

初稿录用日期

2017-03-23

终稿截稿日期

征稿范围

PACBB welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology.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