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Titlebook: User-Level Workflow Design; A Bioinformatics Per Anna-Lena Lamprecht Book 2013 Springer-Verlag Berlin Heidelberg 2013 EDAM ontology.bioinfo

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31#
發(fā)表于 2025-3-26 21:14:11 | 只看該作者
Microarray Data Analysis Pipelineses. Consequently, the constraint-driven workflow composition functionality of the PROPHETS plugin, which is based on a linear-time logic synthesis algorithm, can conveniently be used for complete, start-to-end generation of the workflows.
32#
發(fā)表于 2025-3-27 01:12:25 | 只看該作者
Introduction follows a novel, constraint-driven approach to domain-specific design and management of variant-rich workflows and systematically evaluates its features based on a selection of bioinformatics application scenarios. This introductory chapter motivates the work (Section 1.1) and outlines the results
33#
發(fā)表于 2025-3-27 07:43:45 | 只看該作者
The Bio-jETI Frameworkf this work. It is based on the jABC framework [306, 229] for model-driven, service-oriented workflow development. Providing comprehensive means for the design, execution and deployment of workflows, already the standard jABC framework covers the common aspects of workflow management.
34#
發(fā)表于 2025-3-27 11:12:32 | 只看該作者
Phylogenetic Analysis Workflowsis also a plethora of easy-to-use software tools available for the individual analysis steps, phylogenetic analyses have become a frequently used, quasistandard application for illustrating bioinformatics workflow technology (cf., e.g., [256, 134, 155, 265, 165]). Furthermore, the annotation with se
35#
發(fā)表于 2025-3-27 14:49:51 | 只看該作者
36#
發(fā)表于 2025-3-27 21:09:27 | 只看該作者
FiatFlux-P[353]. In addition to the integration of its principal functionality as elementary services, new services were implemented that emulate the user interaction with FiatFlux in order to enable automation. Like GeneFisher-P, the resulting . facilitates building variants and defining batch processing wor
37#
發(fā)表于 2025-3-28 01:00:05 | 只看該作者
Microarray Data Analysis Pipelinesed by Bioconductor [105]. This kind of bioinformatics workflows is frequently referred to as data analysis “pipelines”, as they typically have a simple, in fact mostly linear, workflow structure, while the (often considerable) complexity of the individual analysis steps is encapsulated by the servic
38#
發(fā)表于 2025-3-28 05:37:37 | 只看該作者
39#
發(fā)表于 2025-3-28 07:24:58 | 只看該作者
40#
發(fā)表于 2025-3-28 11:38:17 | 只看該作者
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