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.
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:
Papers are solicited in, but not limited to the following areas:
Bioinformatics
Computational methods for cell and molecular biology
Computational methods for microbiology and synthetic biology
Computational methods for neurobiology and development
Computational methods for precision medicine