Bioconductor enables statistical analysis of cancer genomic data. Basic researchers (e.g., bioinformaticians and statisticians) use Bioconductor to translate experimental results into actionable biological understanding. An example is to relate gene expression in ‘tumor’ and ‘normal’ tissues to mutations and biochemical pathways that influence cancer. Bioconductor is highly impactful, with thousands of users in academic, government, and industry labs contributing to scientific publications and large-scale collaborative efforts to understand and treat cancer.

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