Table 1.

Good practice bioinformatics rules, derived from Sandve et al. [5]

1	For Every Result, Keep Track of How It Was Produced
2	Avoid Manual Data Manipulation Steps
3	Archive the Exact Versions of All External Programs Used
4	Version Control All Custom Scripts
5	Record All Intermediate Results, When Possible in Standardized Formats
6	For Analyses That Include Randomness, Note Underlying Random Seeds
7	Always Store Raw Data behind Plots
8	Generate Hierarchical Analysis Output, Allowing Layers of Increasing Detail to Be Inspected
9	Connect Textual Statements to Underlying Results
10	Provide Public Access to Scripts, Runs, and Results