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Automatic synthesis of bioconductor pipelines: a domain modeling challenge

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dc.contributor.author Lamprecht, Anna-Lena
dc.contributor.author Margaria, Tiziana
dc.date.accessioned 2017-01-06T11:19:58Z
dc.date.available 2017-01-06T11:19:58Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/10344/5430
dc.description peer-reviewed en_US
dc.description.abstract GNU R is a widely used programming language and software environment for statistical data analysis and visualization. Bioconductor [1] is a collection of bioinformatics packages that extends R's standard range of functionality by comprehensive libraries of functions and meta-data predominantly for the anal- ysis of data from high-throughput genomics and molecular biology experiments, and additionally provides several example data sets that are useful for testing, benchmarking and demonstration purposes. Reference manuals and additional manuscripts provided with the packages at the Bioconductor web site describe a variety of data analysis procedures based on the available functionality. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries SWAT4LS;
dc.subject programming language en_US
dc.subject software engineering en_US
dc.subject bioconductor pipelines en_US
dc.title Automatic synthesis of bioconductor pipelines: a domain modeling challenge en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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