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書(shū)目名稱(chēng)Grid Computing in Life Science影響因子(影響力)




書(shū)目名稱(chēng)Grid Computing in Life Science影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Grid Computing in Life Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Grid Computing in Life Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Grid Computing in Life Science被引頻次




書(shū)目名稱(chēng)Grid Computing in Life Science被引頻次學(xué)科排名




書(shū)目名稱(chēng)Grid Computing in Life Science年度引用




書(shū)目名稱(chēng)Grid Computing in Life Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Grid Computing in Life Science讀者反饋




書(shū)目名稱(chēng)Grid Computing in Life Science讀者反饋學(xué)科排名

獸群

https://doi.org/10.1057/9780230603608eployment, it provides various functionalities for transparent and fault-tolerant processing of bioinformatics tasks on Grid. A feasibility study on the analysis of horizontal gene transfer was done using 119 heterogeneous Linux nodes in 5 different sites, and OBIEnv proved its applicability to prac

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Mets552

Erfassung outsourcender Subjekteg both distributed processing and parallel processing. A new application-oriented grid framework has been introduced to split a BLAST query into independent sub-queries and to execute the sub-queries on remote personal computers and PC clusters connected by a virtual private network (VPN) over the I

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Kreditprozesse professionell managen,challenges both in terms of the scale of the computational resources required (approximately 1.8 million CPU hours), as well as in data and workflow management. While tools are available that solve some subsets of these problems, it was necessary for us to build software to integrate and manage the

FEAS

https://doi.org/10.1007/978-3-322-96472-4the project, we adopted Web based technology and high-level user authentication system with three functions which are rollback function, hierarch representative function and easy-and-systematic annotation. The robust and secure network connection protects the confidential information within the proj

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Zusammenfassung der Ergebnisse und Ausblick,reases, the approach quickly loses its applicability due to explosive exponential number of trees that need to be considered. An earlier work by one of the authors [3] demonstrated that, by decomposing the trees into fragments called splits, and calculating the individual likelihood of each (small)