PCB 2015 - Workshop on Parallel Computational Biology

Bioinformatics is the science of managing, mining, and extracting knowledge from biological data. With the ubiquitous adoption of high-throughput sequencing and other bio-technologies, and the concurrent proliferation of multi- and many-core parallel architectures, the field experiences new challenges in delivering scalable and efficient solutions to the front-line of life sciences. This pertains not only to the algorithms and applications but also to the entire large-scale infrastructure including workflows design, data storage and presentation, etc.
The goal of this Workshop is to present the latest research in broadly defined high-performance computing applied to bioinformatics. We are especially interested in parallel and distributed algorithms, memory efficient algorithms, and design of high-performance software and workflows for accelerators, clusters, grids and clouds. Submission of articles dealing with parallelization of applications on multi-/many-core, massively parallel systems, accelerator architectures and large distributed systems are specifically encouraged. Topics of interest include but are not limited to:
Next-Generation Sequencing (NGS)
Bioinformatics databases
Computational genomics, metagenomics and proteomics
Short-read assembly, clustering, and mapping
Gene expression analysis
Molecular sequence analysis
Phylogeny reconstruction algorithms
Protein structure prediction and modeling
Parallel algorithms for biological analysis
Parallel architectures for biological applications
System tools that support large-scale high-performance bio-computing
Workflow and storage systems for biological analysis