A key aspect to the success of Bioconductor is the ability to reach both users and developers. For users, there are packages and workflows for many common use cases, as well as facilities to effectively communicate results through tables, visualization and reports. Analysis scripts are easily shared, thus facilitating reproducible research. For developers wanting to create and disseminate novel ideas, there is a well-maintained infrastructure for robust code development. Our community strives to balance user needs while simultaneously working on the leading edge of innovation in genomic data science. We are driven by the strengths and dedication of our users and developers and are optimistic about the future of the project.
