Submission Deadline – October 9, 2016

Advances in high-throughput technologies (such as cost-affordable sequencing of whole genomes, population-scale variation screening, or mass spectrometry-based proteomics) are continually propelling related bioinformatics research into the era of big data. This establishes a strong need of sophisticated parallel algorithms and architectures for fast and efficient processing of large-scale biological datasets. To address these challenges, diverse accelerators have been used to accelerate important and computationally demanding applications in Bioinformatics. This workshop focuses on accelerator-enabled parallel algorithms and applications in Bioinformatics, and will award a Best GPU Paper Award to an outstanding paper based on GPU computing. We will consider original submissions that (1) use accelerator technologies to address important biological problems, or (2) propose new parallel algorithms and software tools elaborated to have the potential and feasibility to exploit accelerators. Learn more at http://www.cc.gatech.edu/~yliu/wacebi2016/