@proceedings {38176,
	title = {Computing the Tree of Life: Leveraging the Power of Desktop and Service Grids},
	year = {2011},
	month = {2011},
	type = {10.1109/IPDPS.2011.344},
	abstract = {The trend in life sciences research, particularly in molecular evolutionary systematics, is toward larger data sets and ever-more detailed evolutionary models, which can generate substantial computational loads. Over the past several years we have developed a grid computing system aimed at providing researchers the computational power needed to complete such analyses in a timely manner. Our grid system, known as The Lattice Project, was the first to combine two models of grid computing - the service model, which mainly federates large institutional HPC resources, and the desktop model, which harnesses the power of PCs volunteered by the general public. Recently we have developed a "science portal" style web interface that makes it easier than ever for phylogenetic analyses to be completed using GARLI, a popular program that uses a maximum likelihood method to infer the evolutionary history of organisms on the basis of genetic sequence data. This paper describes our approach to scheduling thousands of GARLI jobs with diverse requirements to heterogeneous grid resources, which include volunteer computers running BOINC software. A key component of this system provides a priori GARLI runtime estimates using machine learning with random forests.},
	keywords = {(artificial, (mathematics), analysis, BOINC, COMPUTATION, computational, computing, data, Estimation, evolutionary, GARLI, genetic, Grid, GRIDS, handling, heterogeneous, History, HPC, information, intelligence), interface, interfaces, Internet, jobs, lattice, learning, life, likelihood, load, machine, maximum, method, model, molecular, phylogenetic, portal, Portals, power, project, resource, Science, sequence, service, services, sets, software, substantial, system, systematics, tree, TREES, user, Web},
	author = {Adam L. Bazinet and Michael P. Cummings}
}
@article {38136,
	title = {Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences},
	journal = {Future Generation Comp SystFuture Generation Comp Syst},
	volume = {23},
	year = {2007},
	type = {DOI 10.1016/j.future.2006.07.011},
	abstract = {Life science research is becoming evermore computationally intensive. Hence, from a computational resource perspective, Grid computing provides a logical approach to meeting many of the computational needs of life science research. However, there are several barriers to the widespread use of Grid computing in life sciences. In this paper, we attempt to address one particular barrier: the difficulty of using Grid computing by life scientists. Life science research often involves connecting multiple applications together to form a workflow. This process of constructing a workflow is complex. When combined with the difficulty of using Grid services, composing a meaningful workflow using Grid services can present a challenge to life scientists. Our proposed solution is a Semantic Web-enabled computing environment, called Bio-STEER. In BioSTEER, bioinformatics Grid services are mapped to Semantic Web services, described in OWL-S. We also defined an ontology in OWL to model bioinformatics applications. A graphical user interface helps to construct a scientific workflow by showing a list of services that are semantically sound: that is, the output of one service is semantically compatible with the input of the connecting service. Bio-STEER can help users take full advantaue of Grid services through a user-friendly graphical user interface (GUI), which allows them to easily construct the workflows they need. (c) 2006 Elsevier B.V. All rights reserved.},
	keywords = {client/server, distributed, ENVIRONMENTS, integrated, interface, management, semantics, services, systems, user, web-base, workflow},
	author = {Lee, S. and Wang, T. D. and Hashmi, N. and Michael P. Cummings}
}
