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Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows

Published: 15 August 2018 Publication History

Abstract

Reproducibility is essential for the verification and advancement of scientific research. It is often necessary, not just to recreate the code, but also the software and hardware environment to reproduce results of computational analyses. Software containers like Docker, that distribute the entire computing environment are rapidly gaining popularity in bioinformatics. Docker not only allows for the reproducible deployment of bioinformatics workflows, but also facilitates mix-and-match of components from different workflows that have complex and possibly conflicting software requirements. However, configuration and deployment of Docker, a command-line tool, can be exceedingly challenging for biomedical researchers with limited training in programming and technical skills. We developed a drag and drop GUI called the Biodepot-Workflow-Builder (Bwb) to allow users to assemble, replicate, modify and execute Docker workflows. Bwb represents individual software modules as widgets which are dragged onto a canvas and connected together to form a graphical representation of an analytical pipeline. These widgets allow the user interface to interact with software containers such that software tools written in other languages are compatible and can be used to build modular bioinformatics workflows. We will present a case study using the Bwb to create and execute a RNA sequencing data workflow.

Reference

[1]
Ling-Hong Hung, Trevor Meiss, Jayant Keswani, Yuguang Xiong, Eric Sobie, and Ka Yee Yeung . 2017. Building containerized workflows for RNA-seq data using the BioDepot-workflow-Builder (BwB). bioRxiv (2017), 099010.

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  1. Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows

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    cover image ACM Conferences
    BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
    August 2018
    727 pages
    ISBN:9781450357944
    DOI:10.1145/3233547
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 15 August 2018

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    Author Tags

    1. bioinformatics
    2. container technology
    3. data science
    4. software

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    • National Institutes of Health

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    BCB '18
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    BCB '18 Paper Acceptance Rate 46 of 148 submissions, 31%;
    Overall Acceptance Rate 254 of 885 submissions, 29%

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