29  Exercises

You can find assignments from the end of each chapters. For example solutions, see (exercises-solutions?).

Tips for exercises

• Add clear comments explaining each line or section of code. This enhances understanding for both you and others, aids in debugging, facilitates code reuse, and promotes transparency.
• Interpret results by comparing them to existing literature. Summarize key findings to ensure they are easily understandable, even for those without advanced expertise in data analytics.
• Avoid hard-coding values. Instead, define variables at the start of the code chunk to make parameter adjustments easier and improve code reusability.

29.1 Basics of R/Bioconductor

Bioconductor training material has been contributed to Carpentries. You can check the following lessons for basic background of R and Bioconductor.

• Introduction to data analysis with R and Bioconductor

• Introduction to the Bioconductor project