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User-Level Workflow Design A Bioinformatics Perspective /

The continuous trend in computer science to lift programming to higher abstraction levels increases scalability and opens programming to a wider public. In particular, service-oriented programming and the support of semantics-based frameworks make application development accessible to users with alm...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lamprecht, Anna-Lena (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Programming and Software Engineering, 8311
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Lamprecht, Anna-Lena.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a User-Level Workflow Design  |h [electronic resource] :  |b A Bioinformatics Perspective /  |c by Anna-Lena Lamprecht. 
250 |a 1st ed. 2013. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a XXII, 223 p. 84 illus.  |b online resource. 
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490 1 |a Programming and Software Engineering,  |x 2945-9168 ;  |v 8311 
505 0 |a The Bio-jETI Framework -- Phylogenetic Analysis Workflows -- GeneFisher-P -- FiatFlux-P -- Microarray Data Analysis Pipelines. 
520 |a The continuous trend in computer science to lift programming to higher abstraction levels increases scalability and opens programming to a wider public. In particular, service-oriented programming and the support of semantics-based frameworks make application development accessible to users with almost no programming expertise. This monograph establishes requirement-centric scientific workflow design as an instance of consequent constraint-driven development. Requirements formulated in terms of user-level constraints are automatically transformed into running applications using temporal logic-based synthesis technology. The impact of this approach is illustrated by applying it to four very different bioinformatics scenarios: phylogenetic analysis, the dedicated GeneFisher-P scenario, the FiatFlux-P scenario, and microarray data analyses. 
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650 0 |a Computer simulation. 
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650 0 |a Bioinformatics. 
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650 2 4 |a Computer Science Logic and Foundations of Programming. 
650 2 4 |a Computer Modelling. 
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