Reproducible Research

At b2slab, we are committed to advancing open science, reproducible research, and collaborative development in computational biology, bioinformatics, and data science. We believe that scientific progress should be transparent, verifiable, and accessible to all.

Our lab focuses on developing open-source tools, sharing data, and creating reproducible workflows to drive discoveries in health, biomedical engineering, and computational modeling. By leveraging open science principles, we ensure that our work can be used, extended, and improved by researchers worldwide.

Philosophy: Open Science & Reproducibility

Our guiding principles include:

• Open-Source Development : All our software, code, and methodologies are publicly available under open licenses to encourage collaboration. Reproducible Science: We emphasize best practices in version control, containerized environments, and well-documented pipelines to ensure that results can be independently verified.
• FAIR Data Principles : Our datasets follow the Findable, Accessible, Interoperable, and Reusable (FAIR) framework, promoting transparency and usability. Community-Driven Research: We actively contribute to and collaborate with global open-source communities, scientific repositories, and interdisciplinary research teams.