Guideline Directory
| General guidelines | Specific guidelines |
| Workflow | Data collection | Data preparation |
1. Organise Computational Biology Projects
The purpose of this article is to describe one good strategy for carrying out computational experiments. I will not describe profound issues such as how to formulate hypotheses, design experiments, or draw conclusions. Rather, I will focus on relatively mundane issues such as organizing files and directories and documenting progress. These issues are important because poor organizational choices can lead to significantly slower research progress. I do not claim that the strategies I outline here are optimal. These are simply the principles and practices that I have developed over 12 years of bioinformatics research, augmented with various suggestions from other researchers with whom I have discussed these issues. (Noble 2002)
- Noble WS 2009 A Quick Guide to Organizing Computational Biology Projects. PLoS Comput Biol 5(7): e1000424. https://doi.org/10.1371/journal.pcbi.1000424](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424)
Categories
Type of quality systems implemented
- not specified
Type of studies targeted
- Bioinformatics
Type of organisations targeted
- not specified