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BioVLAB specifications


Unique identifier OMICS_01214
Name BioVLAB
Alternative name Biology Virtual Collaborative Labs
Software type Framework/Library
Interface Command line interface, Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Windows
Parallelization MapReduce
Computer skills Advanced
Version 0.1
Stability Stable
High performance computing Yes
Maintained Yes


No version available



  • person_outline Sun Kim
  • person_outline Hyungro Lee

Publication for Biology Virtual Collaborative Labs

BioVLAB citations


Cloud Based Metalearning System for Predictive Modeling of Biomedical Data

Sci World J
PMCID: 4032768
PMID: 24892101
DOI: 10.1155/2014/859279

[…] n bioinformatics data analysis. Those are computation power and big data analysis for the biomedical data. Biomedical analysis requires very big computing power with huge storage space. They proposed BioVLab as an affordable infrastructure on the cloud, with a graphical workflow creator which provides an efficient way to deal with these problems. BioVLab consists of three layers. The first layer i […]


Enabling Large Scale Biomedical Analysis in the Cloud

Biomed Res Int
PMCID: 3832998
PMID: 24288665
DOI: 10.1155/2013/185679

[…] ing applications with these tools, small laboratories could maintain and process the large-scale datasets within affordable costs, which is increasingly thorny even for large institutes. For example, BioVLab infrastructure [, ] built on the cloud is developed for genome analysis by utilizing the virtual collaborative lab, a suite of tools that allow scientists to orchestrate a sequence of data ana […]


Bio and health informatics meets cloud : BioVLab as an example

PMCID: 4336112
PMID: 25825658
DOI: 10.1186/2047-2501-1-6

[…] or the computation to the middle layer, and then the gateway in turn ensures the execution of an application on the cloud using the Web Service Definition Language (WDSL). The modular architecture of BioVLab is built on top of the Open Grid Computing Environments (OGCE) toolkit, that provides a web interface, database, and pub/sub system. Middle layer is a gateway that consists of Gfac, XRegistry, […]


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BioVLAB institution(s)
School of Informatics and Computing, Indiana University, Bloomington, IN, USA
BioVLAB funding source(s)
Supported in part by the MetaCyt Microbial node from the Lily Foundation and National Cancer Institute grants U54 CA113001, a Seoul National University Startup fund, partially by the National Science Foundation through the award: OCI-1032742 (SDCI NMI Improvement: Open Gateway Computing Environments—Tools for Cyberinfrastructure-Enabled Science and Education) and Korea Institute of Science and Technology Information (KISTI), Republic of Korea, and the Walther Cancer Foundation.

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