Special Issue on Scalable Algorithms and Architectures for Computational Life Sciences Applications
• 大类 : 工程技术 - 3区
• 小类 : 计算机：理论方法 - 3区
High-performance computing (HPC) has become an integral part of research and development in computational life sciences, which includes bioinformatics/computational biology, and medical and health informatics. The large size and complexity of biological data sets, coupled with the inherent complexity of the underlying biological problems, are driving the design of scalable parallel and distributed algorithms to solve biologically motivated problems. Algorithms in this field are being re-engineered or redesigned to be able to execute on a variety of parallel and distributed architectures, using a variety of parallel models and programming paradigms.
The goal of this special issue is to provide a venue to present the latest research advances in the interdisciplinary area of computational life sciences. More specifically, we are interested in articles that describe recent advances in the design, development and application of scalable high-performance computing solutions to data- and compute-intensive problems arising from all areas of computational life sciences. In particular, the special issue invites authors to submit original, previously unpublished work that are squarely at the interface between the "pillars" of modern day computational life sciences and HPC. Extensions to original works previously published in workshops or conferences will also be considered and authors should clearly identify the additions in the work to justify consideration. Position and survey papers, and papers that describe empirical case studies and best practices suitable for practitioners in the field, are also welcome.
Topics: For a submission to be considered, it should span at least one area from each of these two pillars. More specifically, we encourage submissions from all areas of biology that can benefit from HPC, and from all areas of HPC that need new development to address the class of computational problems that originate from biology.
Areas of interest within computational life sciences include (but not limited to)