Articlegold2012

CloudMan as a platform for tool, data, and analysis distribution

Enis Afgan · Brad Chapman · James Taylor

49 citations0/0 files storedBMC Bioinformatics

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Scientific Computing and Data Management Cloud Computing and Resource Management Distributed and Parallel Computing Systems

Abstract

BACKGROUND: Cloud computing provides an infrastructure that facilitates large scale computational analysis in a scalable, democratized fashion, However, in this context it is difficult to ensure sharing of an analysis environment and associated data in a scalable and precisely reproducible way. RESULTS: CloudMan (usecloudman.org) enables individual researchers to easily deploy, customize, and share their entire cloud analysis environment, including data, tools, and configurations. CONCLUSIONS: With the enabled customization and sharing of instances, CloudMan can be used as a platform for collaboration. The presented solution improves accessibility of cloud resources, tools, and data to the level of an individual researcher and contributes toward reproducibility and transparency of research solutions.

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2010Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences 2011Harnessing cloud computing with Galaxy Cloud

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2017Bio-Docklets: virtualization containers for single-step execution of NGS pipelines 2018Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud 2017Massively Parallel Processing of Whole Genome Sequence Data 2014From Scripted HPC-Based NGS Pipelines to Workflows on the Cloud 2019Bioportainer Workbench: a versatile and user-friendly system that integrates implementation, management, and use of bioinformatics resources in Docker environments 2015Challenges of Large-Scale Biomedical Workflows on the Cloud -- A Case Study on the Need for Reproducibility of Results 2014Galaxy Cluster to Cloud - Genomics at Scale

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