For the past twenty-nine 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 2015 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and is hosted by University of Salamanca, Salamanca, Spain.

The Student Research Competition (SRC) program, sponsored by Microsoft Research, is a newly added program to the ACM SIGAPP Symposium on Applied Computing (SAC). The SAC 2015 SRC program provides graduate students the opportunity to meet and exchange ideas with researchers and practitioners in their areas of interest. Active graduate students seeking feedback from the scientific community on their research ideas are invited to submit abstracts of their original unpublished and in-progress research work in areas of experimental computing and application development related to SAC 2015 Tracks. Please visit the SRC section of the SAC 2015 website for details.

The Computational Biology and Bioinformatics Track promotes current advances in analytical methods relying on mathematical, physical, chemical and computational models applied to biological sciences. (show/hide more details).

  The track aims to emphasize research results obtained with novel and efficient computational methodologies and techniques tailored to knowledge inference, data integration, modelling, simulation and analysis in genomics, transcriptomics, proteomics and metabolomics.

• Computational methods in functional genomics
• Data models in biology
• Gene functions
• Gene identification and annotation
• Gene, metabolic, protein networks: inference, modelling, simulation
• Genomes and protein analysis
• Genotype-phenotype associations
• High-performing bio-computing
• In-silicio models for drug design and drug targeting
• Model driven analysis of biological systems
• Molecular modeling and simulation
• Molecular sequence analysis
• Machine learning and data integration in molecular biology
• Mining integrated life sciences data
• Molecular databases and data warehouses
• Ontologies & Text mining
• Parallel architectures and algorithms for biological applications
• Pharmacokinetics/pharmacodynamics modeling
• RNA-Seq data analysis
• Sequencing assembly and mapping
• Topological analysis of biological network
• Visual Analytics