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Related Concept Videos

Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

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This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
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The workability of concrete is a critical characteristic that influences the ease of mixing, handling, and finishing the concrete. It is affected by several factors including water content, aggregate properties, and admixtures like air entrainment. Water plays a fundamental role as it lubricates the concrete mix, facilitating easier movement and placement. However, the water requirement varies depending on the texture and shape of aggregates. Finer particles and angular, rough-textured...
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Managing workflow executions with WESkit.

Valentin Schneider-Lunitz1, Philip R Kensche2, Landfried Kraatz1

  • 1Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Center of Digital Health, Berlin 10117, Germany.

Bioinformatics (Oxford, England)
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Summary
This summary is machine-generated.

WESkit streamlines biomedical research workflows by implementing the Global Alliance for Genomics and Health (GA4GH) Workflow Execution Service (WES) interface. This enhances scalability, reproducibility, and collaboration for complex data processing projects.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Managing complex computational workflows in biomedical research presents challenges in scalability, reproducibility, and collaboration.
  • Diverse projects require varying parameters, tools, and environments, complicating workflow management.

Purpose of the Study:

  • To present WESkit, an implementation of the Global Alliance for Genomics and Health (GA4GH) Workflow Execution Service (WES) interface.
  • To streamline the execution, monitoring, and documentation of data processing workflows in biomedical research.

Main Methods:

  • WESkit supports both Snakemake and Nextflow workflow management systems.
  • The system is designed for seamless integration into cloud environments, aligning with the GA4GH cloud framework.

Main Results:

  • WESkit addresses complexities in managing numerous workflow executions with varying parameters across diverse research projects.
  • It enables consistent automation and centralized monitoring for research groups.

Conclusions:

  • WESkit facilitates long-term reproducibility and scalable collaboration in biomedical research.
  • The software is suitable for larger teams and service units, enhancing the GA4GH cloud framework.