81 research outputs found
A Unicore Globus Interoperability Layer
No full textFor several years, UNICORE and Globus have co-existed as approaches to exploiting what has become known as the "Grid". Both offer many services beneficial for creating and using production Grids. A cooperative approach, providing interoperability between Globus and UNICORE, would result in an advanced set of Grid services that gain strength from each other. This paper outlines some of these parallels and differences as they relate to the development of an interoperability layer between UNICORE and Globus. Given the increasing ubiquity of Globus, what emerges is the desire for a hybridised facility that utilises the UNICORE work-flow management of complex, multi-site tasks, but that can run on either UNICORE- or Globus-enabled resources. The technical challenge in achieving this, addressed in this paper, consists of mapping resource descriptions from both grid environments to an abstract format appropriate to work-flow preparation, and then the instantiation of work-flow tasks on the target systems. Other issues such as reconciling disparate security models and file transfer support are also addressed
pratense
No full textPhleum pratense Linnaeuscommon timothy;timothy;meadow timothypratenseSect. of Livingstone Range, W of AGT Util. Stn (N Burmis Road)Moist shrubby patch sheltered in lee of E slope, below mid el
The rumen microbial metaproteome as revealed by SDS-PAGE
No full textThis work was supported by the RuminOmics project and funded by the European Commission (Grant Agreement No. 289319). The Rowett Institute is funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. The funding bodies had no role in the design of the study or collection, analysis, or interpretation of data or in writing the manuscript.Peer reviewe
Diversity and community composition of methanogenic archaea in the rumen of Scottish upland sheep assessed by different methods
No full textAcknowledgments We thank Bob Mayes and Dave Hamilton of the James Hutton Institute for their permission and help in sampling the sheep digesta. Gillian Campbell and Pauline Young provided an excellent DNA sequencing service. We also thank Dr Matthew McCabe for preparing V6–V8 amplicon libraries. Author Contributions Conceived and designed the experiments: RJW. Performed the experiments: RJW BG NM SMW CJC. Analyzed the data: TJS MW SMW CJC RJW. Contributed reagents/materials/analysis tools: NM RJW MW SMW CJC. Contributed to the writing of the manuscript: TJS MW SMW CJC RJW.Peer reviewe
University of Nebraska College of Medicine Class of 2004
No full textRachel A. Akerman, Christine M. Anderson, Jay C. Anderson, Neil A. Aranha, Joseph P. Bast, Michael S. Bauer, Richard L. Becker, Benjamin T. Bissell, Jacqueline S. Bogatz, Michael A. Borunda, Jessica N. Bracken, Chad E. Branecki, Neil A. Bratney, Kathleen M. Brennan, April C. Brinkhoff, Matthew R. Bruner, Elizabeth A. Bures, Joseph P. Carmody, Christopher A. Cederberg, Brenda M. Chrastil, Scott E. Cologne, Alex D. Cooper, Catherine A. Craig, Brian H. Cunningham, Allison M. Cushman-Vokoun, Karina M. Dierks, Clark B. Diffendaffer, Tami S. Dodds, Michael J. Eisenmenger, Bradley C. Ellis, Daniel A. Faber, Benjamin L. Fagot, Jessica J. Farnsworth, Michael G. Feely, Jonathan P. French, John L. Frerichs, Keith M. Gautreaux, Daniel J. Gillespie, Joshua J. Gortemaker, John H. Grebe, Travis S. Hageman, Marilyn E. Hallinan, Jonathan D. Hart, Jill E. Hendrickson, Andrew T. Herd, Christopher M. Hunzeker, Casey D. Johnston, Scott R. Keller, Amanda L. Kester, Joseph J. Kezeor, BryanT. Klassen, Kiran K. Lassi, Aaron W. LaTowsky, Michael D. Leise, Brian C. Leung, Jennifer L. Liu, Alecia S. Lovegrove, Joseph R. Lutt, John M. Mai, David J. Mair, Mary E. McAlevy, Kathryn F. McCormick, Jennifer K. McWilliams, Matthew L. Miller, Aaron L. Mills, James N. Mockler, Paula A. Muegge, Adam C. Mues, Guy A. Music, Terri L. Myers, Thomas S. Nabity, Timothy D. Narjes, Joshua D. Nelson, Jessica E. Novotny, Uzoamaka O. Nwoye, Laura A. Ortmann, Patricia S. Otis, Chad A. Ott, Nancy A. Parks, David M. Penn, Thomas J. Rankin, Aaron G. Rea, Matthew D. Reuter, John P. Rice, Eric D. Riddle, Cynthia I. Rivera-Hoff, Erin C. Rose, Michael P. Roth, Lisa A. Ryan, RoseAnn M. Schwaninger, Tenycia R. Shepherd, Justin C. Siebler, Cory S. Sinclair, Joshua L. Smith, Bruce R. Smith, Dustin M. Snelling, Matthew P. Summers, Matthew T. Sweney, Regina M. Todero, Sheritta A. Toler, Marc A. Tompkins, Andrea C. VerMaas, Uyen E. Vu, Scott A. Welch, Lance A. Wiebusch, Joel G. Winner, Robert B. Zatechkahttps://digitalcommons.unmc.edu/comclass/1085/thumbnail.jp
Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism
No full textAbstract
Methane emissions from ruminal fermentation contribute significantly to total anthropological greenhouse gas (GHG) emissions. New meta-omics technologies are beginning to revolutionise our understanding of the rumen microbial community structure, metabolic potential and metabolic activity. Here we explore these developments in relation to GHG emissions. Microbial rumen community analyses based on small subunit ribosomal RNA sequence analysis are not yet predictive of methane emissions from individual animals or treatments. Few metagenomics studies have been directly related to GHG emissions. In these studies, the main genes that differed in abundance between high and low methane emitters included archaeal genes involved in methanogenesis, with others that were not apparently related to methane metabolism. Unlike the taxonomic analysis up to now, the gene sets from metagenomes may have predictive value. Furthermore, metagenomic analysis predicts metabolic function better than only a taxonomic description, because different taxa share genes with the same function. Metatranscriptomics, the study of mRNA transcript abundance, should help to understand the dynamic of microbial activity rather than the gene abundance; to date, only one study has related the expression levels of methanogenic genes to methane emissions, where gene abundance failed to do so. Metaproteomics describes the proteins present in the ecosystem, and is therefore arguably a better indication of microbial metabolism. Both two-dimensional polyacrylamide gel electrophoresis and shotgun peptide sequencing methods have been used for ruminal analysis. In our unpublished studies, both methods showed an abundance of archaeal methanogenic enzymes, but neither was able to discriminate high and low emitters. Metabolomics can take several forms that appear to have predictive value for methane emissions; ruminal metabolites, milk fatty acid profiles, faecal long-chain alcohols and urinary metabolites have all shown promising results. Rumen microbial amino acid metabolism lies at the root of excessive nitrogen emissions from ruminants, yet only indirect inferences for nitrogen emissions can be drawn from meta-omics studies published so far. Annotation of meta-omics data depends on databases that are generally weak in rumen microbial entries. The Hungate 1000 project and Global Rumen Census initiatives are therefore essential to improve the interpretation of sequence/metabolic information
The ruminal microbiome associated with methane emissions from ruminant livestock
No full textThe Rowett Institute is funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. This study was financially supported by Ruminomics (project no. 289319 of EC 7th Framework Programme: Food, Agriculture, Fisheries and Biotechnology).Peer reviewe
Marches of the dragoons in the Mississippi Valley : an account of marches and activities of the First Regiment United States Dragoons in the Mississippi Valley between the years 1833 and 1850,1917.
No full textContains information of the marches and other activities of the First Regiment of the United States Dragoons between the years 1833 and 1850 with in the boundaries of the Iowa country. Written by Louis Pelzer
Provenance-based trust for grid computing: Position Paper
No full textCurrent evolutions of Internet technology such as Web Services, ebXML, peer-to-peer and Grid computing all point to the development of large-scale open networks of diverse computing systems interacting with one another to perform tasks. Grid systems (and Web Services) are exemplary in this respect and are perhaps some of the first large-scale open computing systems to see widespread use - making them an important testing ground for problems in trust management which are likely to arise. From this perspective, today's grid architectures suffer from limitations, such as lack of a mechanism to trace results and lack of infrastructure to build up trust networks. These are important concerns in open grids, in which "community resources" are owned and managed by multiple stakeholders, and are dynamically organised in virtual organisations. Provenance enables users to trace how a particular result has been arrived at by identifying the individual services and the aggregation of services that produced such a particular output. Against this background, we present a research agenda to design, conceive and implement an industrial-strength open provenance architecture for grid systems. We motivate its use with three complex grid applications, namely aerospace engineering, organ transplant management and bioinformatics. Industrial-strength provenance support includes a scalable and secure architecture, an open proposal for standardising the protocols and data structures, a set of tools for configuring and using the provenance architecture, an open source reference implementation, and a deployment and validation in industrial context. The provision of such facilities will enrich grid capabilities by including new functionalities required for solving complex problems such as provenance data to provide complete audit trails of process execution and third-party analysis and auditing. As a result, we anticipate that a larger uptake of grid technology is likely to occur, since unprecedented possibilities will be offered to users and will give them a competitive edge
Differential recovery of bacterial and archaeal 16S rRNA genes from ruminal digesta in response to glycerol as cryoprotectant
No full textBacteria and archaea in frozen (-20 degrees C) ruminal digesta were analysed by qPCR and cloning/sequencing of 16S rRNA genes. Samples frozen with and without glycerol as cryoprotectant indicated a major loss of Bacteroidetes in unprotected samples, resulting in higher proportions of Firmicutes. Archaeal numbers and diversity were unaffected. (C) 2013 Elsevier B.V. All rights reserved
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