Software review: the KNIME workflow environment and its applications in genetic programming and machine learning

Research output: Contribution to journalArticle

Abstract

Software comes in various forms, from the hair shirt style of the command line to fully blown, GUI-based commercial offerings. The former tends to give its users more control, but disenfranchises many other potential users who cannot themselves program yet who might otherwise benefit from it. A kind of halfway house is represented by software environments that provide both flexibility (power) and ease of use. A particular subset is represented by Workflow environments, in which loosely coupled, individual processing nodes can be ‘bolted together’ to permit complex computational operations. Taverna [7] (http://​www.​taverna.​org.​uk/​) is a very well known scientific workflow system, especially in bioinformatics. It is a fully open environment, freely available, and workflows can be shared via its sister site myExperiment http://​www.​myexperiment.​org/​. It has some extensions for cheminformatics [2]. A particular strength is the means by which it can use Web services to link federated Web-based resources, a particular feature of bioinformatics.

Bibliographical metadata

Original languageEnglish
Pages (from-to)387-391
Number of pages4
JournalGenetic Programming and Evolvable Machines
Volume16
Issue number3
DOIs
StatePublished - Sep 2015