About SAC

For the past 32 years, the ACM Symposium on Applied Computing has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2019 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Limassol, Cyprus.

SAC BIO Track description

The ACM SAC 2019 Bioinformatics Track aims at promoting current advances in biological sciences relying on analytical methods that integrate mathematical, physical and computer sciences.

The track is primary devoted to publish papers very focused on timely well-defined biological issues whose solution have benefited from the use of computational techniques or the implementation of new ones. The track solicits submission of papers presenting a biological problem in a comprehensive way and (part of) its solution obtained through the application of computational methods including analysis, modeling and simulation.

Manuscripts presenting highly original results in the field of applied biology and are proof of an interdisciplinary collaboration between biologists and computer scientists are within the scope of the BIO Track. Furthermore, although this Track considers the innovative computational and methodological aspects very relevant, it gives greater emphasis to contributions that show practical applications of computational methodologies to the solution of biological problems. In this light, unbalanced manuscripts relying heavily only on mathematical or algorithmic contents, or reporting a general description of the eventual application field of the computational methods do not fall into the primary scope of the track.

Algorithmic procedures for modelling and analysis of data are solicited but not limited to the following areas of interest:

• cancer biology and genomics
• cell and molecular biology
• systems biology
• microbiology
• synthetic biology
• neurobiology
• developmental biology
• precision medicine

SAC BIO Track Topics

Papers are solicited in, but not limited to the following areas:

Bioinformatics

• Biological data analysis: exploratory and confirmatory statistical applications
• Biological systems visualization: chromosomes, genes, proteins and metabolites
• Gene identification and annotation
• Sequence analysis
• Comparative genomics
• Population genetics
• Bio-databases: construction and integration
• RNA-SEQ data analysis, sequencing assemblies and mapping

Computational methods for cell and molecular biology

• Reconstructing regulatory networks of genes
• Modelling dynamics of protein and metabolic networks
• Modelling of demography, ecology, epidemics
• Inferring the evolutionary phylogeny of species

Computational methods for microbiology and synthetic biology

• Molecular and cellular mechanisms of bacterial pathogenesis
• Mathematical models for dynamics of metabolic networks in bacteria
• Modelling stress response and robustness of bacterial metabolic networks
• Spatio-temporal modeling of microbial metabolism
• Modelling bacterial chemotaxis
• Dynamic network and optimal control theory approaches to model the time evolution of a biochemical network
• Stochastic models of biochemical kinetics of complex network
• Statistics of stochastic processes in biochemical interaction networks
• Bacterial glycomics: current technology, data and models.
• Models of pathogens’ drug resistance
• Molecular virology

Computational methods for neurobiology and development

• Bio-Neural simulators
• Modelling neurons and neural circuits
• Cognitive modelling
• Functional neuroimaging: algorithmic and computational aspects

Computational methods for precision medicine

• Big data processing into computational models for personalized medicine and health care
• Statistical methods for interpreting disease genomic variants of disease