Bioconductor is a large, NIH-funded project that provides tools and data resources for the analysis and comprehension of high-throughput biological data. Bioconductor uses the R statistical programming language and is open source, open development, and free to use. With over 500,000 downloads per year, 1000 active developers, the project continues to grow. Our community hosts three large conferences per year (North America, Asia, Europe), has extensive documentation, and is taught worldwide. The project espouses reproducible research processes, transparency and open access, and software development best practices. In this talk, Sean will introduce the Bioconductor project, point to a few resources for further learning and training and attempt to leave time for questions and discussion.