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Related Experiment Video

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uap: reproducible and robust HTS data analysis.

Christoph Kämpf1,2,3,4, Michael Specht3, Alexander Scholz3

  • 1Young Investigators Group Bioinformatics and Transcriptomics, Department Molecular Systems Biology, Helmholtz Center for Environmental Research - UFZ, Permoserstraße 15, Leipzig, 04318, Germany.

BMC Bioinformatics
|December 14, 2019
PubMed
Summary
This summary is machine-generated.

Reproducible computational research is challenging for high throughput sequencing (HTS) data analysis. The new uap workflow management system ensures robust, consistent, and reproducible HTS data analysis for researchers.

Keywords:
Reproducible researchSequencing data analysisWork-flow management

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Reproducibility is a critical challenge in computational research, particularly for complex high throughput sequencing (HTS) data analysis.
  • The multi-step nature of HTS analysis, involving numerous tools and parameters, exacerbates issues of consistency and reproducibility.
  • Existing workflow management systems do not fully meet the criteria for reproducible HTS data analysis.

Purpose of the Study:

  • To introduce uap, a novel workflow management system designed to address reproducibility challenges in HTS data analysis.
  • To provide a tool that facilitates robust and consistent analysis of omics data.
  • To offer a solution that can be extended to other complex computational analyses.

Main Methods:

  • Development of the uap workflow management system.
  • Implementation of criteria to ensure reproducible research in HTS data analysis.
  • Optimization for omics data but designed for extensibility.

Main Results:

  • The uap system is presented as a dedicated solution for robust, consistent, and reproducible HTS data analysis.
  • uap is optimized for omics data but is adaptable to other complex analyses.
  • The system is available under the GNU GPL v3 license.

Conclusions:

  • uap is a freely accessible tool that empowers researchers to implement reproducible research principles in HTS data analysis.
  • The tool simplifies adherence to best practices for ensuring the reliability and consistency of HTS data.
  • uap contributes to improving the overall quality and trustworthiness of computational research findings.