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Open Science

The GLUE software framework embodies the principles of open science, promoting transparency, accessibility, and collaboration in scientific research. By leveraging modern technologies and practices, GLUE enhances the research ecosystem and aligns with the broader movement towards open science. Key themes include:
GLUE is developed as open-source software, allowing researchers to access, modify, and distribute the code freely. This openness encourages collaboration and the collective improvement of the framework, fostering a community-driven approach to scientific research.
Utilizing standardized data structures and formats facilitates data sharing and interoperability among diverse systems and projects. This practice promotes open data initiatives by simplifying collaboration and integration of various datasets.
GLUE seamlessly integrates with widely-used bioinformatics software (such as BLAST, RAXML, and MAFFT), enabling users to leverage existing tools within their analyses. This integration enhances the research ecosystem and supports open science by providing a comprehensive toolset for researchers.
The collaborative aspects of GLUE are intertwined with GitHub, which serves as an open framework for project development and management. Key features include:
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Version Control: Users can track changes in code and documentation, ensuring reproducibility and transparency in research.
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Issue Tracking: GitHub facilitates bug reporting, feature requests, and discussions, fostering open dialogue among contributors.
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Forking and Pull Requests: Researchers can create forks of GLUE repositories to develop their own versions and propose changes, promoting innovation and contribution.
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Community Engagement: The platform allows researchers working in distinct analysis contexts to benefit from one another’s work and to collaborate.
GLUE projects can be hosted in public repositories, making research findings and data openly accessible. This transparency promotes the sharing of scientific knowledge and supports informed decision-making in policy and practice.
By adhering to these open science principles, GLUE not only enhances the efficiency of genomic research but also contributes to the advancement of collaborative, transparent, and inclusive scientific practices.
GLUE by Robert J. Gifford Lab.
For questions, issues, or feedback, please open an issue on the GitHub repository.
- Project Data Model
- Schema Extensions
- Modules
- Alignments
- Variations
- Scripting Layer
- Freemarker Templates
- Example GLUE Project
- Command Line Interpreter
- Build Your Own Project
- Querying the GLUE Database
- Working With Deep Sequencing Data
- Invoking GLUE as a Unix Command
- Known Issues and Fixes
- Overview
- Hepatitis Viruses
- Arboviruses
- Respiratory Viruses
- Animal Viruses
- Spillover Viruses
- Virus Diversity
- Retroviruses
- Paleovirology
- Transposons
- Host Genes