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Table 1 Good practice bioinformatics rules, derived from Sandve et al. [5]

From: Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines

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