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Table 3 Computational efficiency across methods. Assessments of running time of the six compared methods when executed on different operating systems and on Google Colab

From: CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens

Algorithm

MacOS Big Sur

Ubuntu 16.04 LTS

Windows 10

CoLab (Ubuntu 18.04 LTS)

ADaM

7 mins 38.23 s

6 mins 30.88 s

10 mins 36.56 s

12 mins 19.95 s

CEN-tools

10 mins 22.76 s

12 mins 34.74 s

15 mins 24.33 s

15 mins 32.69 s

FiPer (average)

4.93 s

6.52 s

6.67 s

8.26 s

FiPer (AUC)

5.77 s

7.54 s

7.83 s

9.79 s

FiPer (fixed)

4.78 s

5.55 s

5.76 s

7.57 s

FiPer (slope)

18.97 s

24.07 s

29.39 s

32.26 s

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BMC Genomics

ISSN: 1471-2164

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