The impact of Docker containers on the performance of genomic pipelines

In a recent publication we assessed the impact of Docker containers technology on the performance of bioinformatic tools and data analysis workflows.

We benchmarked three different data analyses: a RNA sequence pipeline for gene expression, a consensus assembly and variant calling pipeline, and finally a pipeline for the detection and mapping of long non-coding RNAs.

We found that Docker containers have only a minor impact on the performance of common genomic data analysis, which is negligible when the executed tasks are demanding in terms of computational time.

This publication is available as PeerJ preprint here.