Abstract

Background"/jats:title""jats:p"The complex nature of biological data has driven the development of specialized software tools. Scientific workflow management systems simplify the assembly of such tools into pipelines, assist with job automation and aid reproducibility of analyses. Many contemporary workflow tools are specialized and not designed for highly complex workflows, such as with nested loops, dynamic scheduling and parametriza-tion, which is common in e.g. machine learning."/jats:p""/jats:sec""jats:sec""jats:title"Findings"/jats:title""jats:p"SciPipe is a workflow programming library implemented in the programming language Go, for managing complex and dynamic pipelines in bioinformatics, cheminformatics and other fields. SciPipe helps in particular with workflow constructs common in machine learning, such as extensive branching, parameter sweeps and dynamic scheduling and parametrization of downstream tasks. SciPipe builds on Flow-based programming principles to support agile development of workflows based on a library of self-contained, reusable components. It supports running subsets of workflows for improved iterative development, and provides a data-centric audit logging feature that saves a full audit trace for every output file of a workflow, which can be converted to other formats such as HTML, TeX and PDF on-demand. The utility of SciPipe is demonstrated with a machine learning pipeline, a genomics, and a transcriptomics pipeline."/jats:p""/jats:sec""jats:sec""jats:title"Conclusions"/jats:title""jats:p"SciPipe provides a solution for agile development of complex and dynamic pipelines, espe-cially in machine leaning, through a flexible programming API suitable for scientists used to programming or scripting."/jats:p""/jats:sec Document type: Article

Abstract

International audience; Civil high-speed passenger transport only makes sense when deployed for long-haul intercontinental flights. Consequently, the related development and deployment of such a high-speed vehicle will most likely demand an international approach. The internationally funded HEXAFLY-INT project is a first step in the direction of civil high-speed transportation along with an international development where flighttesting is the focal point. The global aim is to flight test an experimental waverider-based vehicle concept above Mach 7 to verify its potential for a high cruise efficiency during a free-flight. In parallel, the concept will also be flight tested to prove the waverider concept is also able to take-off, to accelerate to subsonic speed and to land in an efficient and robust way. The feasibility for a 3m long vehicle was demonstrated during the European precursor project HEXAFLY. Its realization is now being enabled on an international scale preparing the grounds for global cooperation in case of a future deployment of a high-speed cruiser. These flight opportunities will increase drastically the Technology Readiness Level of developments realized in previous high-speed EC projects such as ATLLAS I & II and LAPCAT I & II. The present paper describes the various numerical and experimental investigations carried out so far by the different international partners.