Abstract
This paper surveys the contents of the special issue on Emerging Computational Methods for the Life Sciences Workshop with six contributed papers. They cover a rich variety of topics on interface of life sciences and computation which in detail are parallelizing two popular micro array data analysis techniques using the Simple Parallel R Interface (SPRINT); parallelization of PEMer structural variation pipeline and the BWA alignment tool for execution on clusters, grids and clouds using the Weaver/Starch/Makeflow workflow stack; hierarchical MapReduce framework for utilizing computational resources from multiple clusters simultaneously to execute a MapReduce computation across them; framework which can utilize HPC, Grid and Cloud infrastructure through a unified framework to achieve task-level concurrency; port of the AutoDock molecular docking program to run within the open source Hadoop MapReduce framework; current research topics on computational methods of genomics, the complexity of biological applications and computational assays, and the increasing demands of improving algorithms and parallel systems;
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