WACEBI 2016 - 2016 Workshop on Accelerator-Enabled Algorithms and Applications in Bioinformatics

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. Typical accelerators include but not limited to FPGAs, GPUs, Intel Xeon Phi coprocessors, Intel SSE and AVX vector processing units, and custom hardware chips. Meanwhile, various parallel algorithms inherently enabling to use accelerators have been or are being developed as well.
This workshop focuses on accelerator-enabled parallel algorithms and applications in Bioinformatics. We will consider 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. Topics of interest include but are not limited to:
Biological sequence databases
Biological sequence analysis
Computational genomics and proteomics
Infrastructure and systems tools for high-performance bioinformatics
Metagenomics
Next-generation sequencing
Phylogeny inference
Protein structure prediction and modeling
Workflow and systems for big biological data management