The size and complexity of genome- and proteome-scale data sets in bioinformatics continues to grow at a furious pace, and the analysis of these complex, noisy, data sets demands efficient algorithms and high performance computer architectures. Hence high-performance computing has become an integral part of research and development in bioinformatics, computational biology, and medical and health informatics. 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, many-cores 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:

* Bioinformatics data analytics
* Biological network analysis
* Cloud-enabled solutions for computational biology
* Computational genomics and metagenomics
* Computational proteomics and metaproteomics
* DNA assembly, clustering, and mapping
* Energy-aware high performance biological applications
* Gene identification and annotation
* High performance algorithms for computational systems biology
* High throughput, high dimensional data analysis: flow cytometry and related proteomic data
* Parallel algorithms for biological sequence analysis
* Molecular evolution and phylogenetic reconstruction algorithms
* Protein structure prediction and modeling
* Parallel algorithms in chemical genetics and chemical informatics
* Transcriptome analysis with RNASeq

To submit a paper, please upload a PDF file through Easy Chair at the HiCOMB 2018 Submission Site. Submitted manuscripts may not exceed ten (10) single-spaced double-column pages using a 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references (see IPDPS Call for Papers for more details). All papers will be reviewed. Proceedings of the workshops will be distributed at the conference and are submitted for inclusion in the IEEE Explore Digital Library after the conference.