Skip to main content
Fig. 6 | Genome Biology

Fig. 6

From: iMOKA: k-mer based software to analyze large collections of sequencing data

Fig. 6

iMOKA is faster and scales better with large cohorts. Comparison of the running times between the benchmarked methods. Solid bars represent the time dedicated to the generation of the features (transcript abundance, PSI evaluation, and k-mer count), and the lighter bars represent the time dedicated to the analysis of the features (differential expression, differential splicing, and the machine learning-based filters)

Back to article page
\