Computational Pipelines and Workflows in Bioinformatics
作者： Jeremy Leipzig
DOI: 10.1016/B978-0-12-809633-8.20187-8
关键词: Metadata 、 Bioinformatics analysis 、 Pipeline transport 、 Data science 、 Semantic Web 、 World Wide Web 、 Cloud computing 、 Computer science 、 Workflow 、 Dependency (project management)
摘要: Pipelines and workflows are staples of bioinformatics analysis, enabling the reproducible efficient transformation data into results, yet these tools have only recently received significant attention as a topic study in their own right. This article attempts to describe changing landscape pipelines allied components they bind – data, metadata, reports, notebooks, journals. Of particular interest recent developments cloud distributed cluster solutions, dependency management, containerization, semantic encoding.
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