HiCOMB 2016 - 2016 IEEE International Workshop on High Performance Computational Biology

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.
The workshop will feature contributed papers as well as invited talks from reputed researchers in the field.
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
This year, the HiCOMB workshop will also host multiple sessions specifically dedicated to parallel sequence analysis libraries. These sessions will be held primarily on Friday, May 27, and are continuation of the pSALSA workshop. The sessions will feature relevant contributed submissions from HiCOMB, multiple invited talks, and discussion. Consequently, we also seek paper submissions that focus on parallel Next-Generation Sequencing (NGS) bioinformatics.