The goal of PBio is therefore to bring together researchers in the fields of Parallelism and Bioinformatics, hence establishing a forum for discussing challenges, new ideas, results, applications, and future directions. In conclusion, we seek original, high-quality research papers, clearly focused on the application of Parallelism to any possible Bioinformatics problem. In particular, contributions are solicited on, but are not limited to, the following topics:

Parallel and distributed algorithms in Bioinformatics.
Workload partitioning strategies in Bioinformatics.
Memory-efficient algorithms in Bioinformatics.
Parallel tools and applications in Bioinformatics.
Data-intensive Bioinformatics (including Big Data storage and processing).
Multicore computing in Bioinformatics.
Multithreaded computing in Bioinformatics.
Cluster computing in Bioinformatics.
Supercomputing in Bioinformatics.
Cloud/Grid/P2P computing in Bioinformatics.
Volunteer computing in Bioinformatics.
Hardware accelerators (GPUs, FPGAs, etc.) in Bioinformatics.
Heterogeneous computing in Bioinformatics.
Green computing in Bioinformatics.
Mobile computing in Bioinformatics.
Emerging parallel programming models in Bioinformatics.
Parallel performance evaluation, analysis, and optimization in Bioinformatics.
Parallel visualization, modelling, simulation, and exploration in Bioinformatics.