The reproducibility of experiments has been a long standing impediment for further scientific
progress. Computational methods have been instrumental in drug discovery efforts owing to …

Background Reproducibility of a research is a key element in the modern science and it is
mandatory for any industrial application. It represents the ability of replicating an experiment …

The democratization of computational resources, thanks to the advent of public, private, and
hybrid clouds, changed the rules in many science fields. For decades, one of the effort of …

Next-generation sequencing (NGS) is a powerful tool for detecting and investigating viral
pathogens; however, analysis and management of the enormous amounts of data …

The package containerit automates the generation of Dockerfiles for workflows in R, based
on images by the Rocker project (Boettiger & Eddelbuettel, 2017). The core feature of …

We present the BioDepot-workflow-builder (Bwb), a software tool that allows users to create
and execute reproducible bioinformatics workflows using a drag-and-drop interface …

Abstract YAMP (" Yet Another Metagenomics Pipeline") is a user-friendly workflow that
enables the analysis of whole shotgun metagenomic data while using containerization to …

Since the emergence of big data and massive genomic sequencing technologies,
advancements in clinical practice have been hindered by data processing limitations. The …

Next-generation genome sequencing (NGS) technology is currently at a point where we can
sequence genomes with unprecedented scale and accuracy, and it will be only a matter of …

Reproducible computing environments are required for reproducible analysis and are also
useful for interactive exploratory analysis. In the past, scientific computing environments …