Introduction

High-performance computing is an integral part of research and development in bioinformatics/computational biology and medical and health informatics. The large size and complexity of biological data sets, and inherent complexity of the underlying biological problems have collectively resulted in large run-time and memory requirements. The goal of this workshop is to provide a forum for discussion of latest research in developing high-performance computing solutions to data- and compute-intensive problems arising from all areas of computational life sciences. We are especially interested in parallel and distributed algorithms, memory-efficient algorithms, large scale data mining techniques, including approaches for big data and cloud computing, algorithms on multicores, manycores and GPUs, and design of high-performance software and hardware for biological applications.

Call for paper

Submission Topics

Topics of interest include but are not limited to:

Bioinformatic databases

Computational genomics and metagenomics

Computational proteomics and metaproteomics

DNA assembly, clustering, and mapping

Gene expression analysis with RNASeq and microarrays

Gene identification and annotation

Parallel algorithms for biological sequence analysis

Parallel architectures for biological applications

Molecular evolution and phylogenetic reconstruction algorithms

Protein structure prediction and modeling

Parallel algorithms in chemical genetics and chemical informatics

High performance algorithms for systems biology

Big data solutions for systems biology

Cloud-enabled solutions for computational biology

Energy-aware high performance biological applications

Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    May 23

    2016

    to

    May 27

    2016

  • May 27 2016

    Registration deadline

Previous Conferences