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Best Practices Martin Morgan (Morgan FCC.org) Fred Hutchinson Cancer Research Center Seattle, WA 7 February 2014 Best practices 1. Write organized, consistent R code 2. Use version control 3. Document

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4. Read and understand the instructions: Once you have identified the best practices that are applicable to your analysis, carefully read and understand the instructions provided. Pay attention to any prerequisites, dependencies, or specific steps that need to be followed. Make sure you have the necessary software packages or tools installed.
5. Follow the step-by-step instructions: Fill out the best practices form or template by following the step-by-step instructions provided. Ensure that you provide accurate and complete information for each step. If there are any ambiguous or unclear instructions, seek clarification from the Bioconductor community or support channels.
6. Document your workflow: As you fill out the best practices, keep a record or documentation of your workflow. This will help you reproduce or troubleshoot your analysis in the future. Take notes, save scripts or commands used, and document any parameters or settings chosen.

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3. Researchers and scientists: Researchers and scientists from various domains, such as genomics, transcriptomics, proteomics, and more, can benefit from using Bioconductor and following its best practices. These practices ensure that the data analysis process is rigorous, transparent, and in line with community standards.

In summary, to fill out the best practices in Bioconductor, one must familiarize themselves with the platform, understand the purpose of best practices, review the relevant guidelines, follow the instructions carefully, and document the workflow. Bioinformaticians, biologists, researchers, and scientists are among the individuals who can greatly benefit from utilizing best practices in Bioconductor.

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