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Authors: Marcelina Borcz 1 ; Rafał Kluszczyński 2 and Piotr Bała 1

Affiliations: 1 Nicolaus Copernicus University;University of Warsaw, Poland ; 2 Nicolaus Copernicus University, Poland

ISBN: 978-989-674-019-1

Keyword(s): UNICORE, Workflow, R environment, GridBean.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Bioinformatics ; Biomedical Engineering ; Web Services in Bioinformatics

Abstract: Nowadays the role of e-Science is important, especially in the area of life sciences. Experiments and their analysis are carried out in collaboration of many scientific groups from institutes located all over the world. Moreover, they work with immense amount of data which usually needs to be processed statistically. Therefore, the need for computing power is increasing. It usually can not be supplied by a standard laboratory. That is why e-Science makes use of grid technology. UNICORE (Uniform Interface to Computing Resources) is a middleware enabling access to the Grid resources in a seamless and secure way. In this paper we present UNICORE gridbean for statistical R environment which enables to process statistically data on the Grid. Being used as a part of more complex workflow task it can analyze results given by another applications and calculate needed statistics. By presenting example workflow constructed in UNICORE Rich Client application, authors show power of the Chemoment um workbench built on UNICORE Grid system. (More)

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Paper citation in several formats:
Borcz M.; Kluszczyński R.; Bała P. and (2010). STATISTICAL ANALYSIS OF BIOMOLECULAR DATA USING UNICORE WORKFLOWS.In Proceedings of the First International Conference on Bioinformatics - Volume 1: BIOINFORMATICS, (BIOSTEC 2010) ISBN 978-989-674-019-1, pages 217-220. DOI: 10.5220/0002742102170220

@conference{bioinformatics10,
author={Marcelina Borcz and Rafał Kluszczyński and Piotr Bała},
title={STATISTICAL ANALYSIS OF BIOMOLECULAR DATA USING UNICORE WORKFLOWS},
booktitle={Proceedings of the First International Conference on Bioinformatics - Volume 1: BIOINFORMATICS, (BIOSTEC 2010)},
year={2010},
pages={217-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002742102170220},
isbn={978-989-674-019-1},
}

TY - CONF

JO - Proceedings of the First International Conference on Bioinformatics - Volume 1: BIOINFORMATICS, (BIOSTEC 2010)
TI - STATISTICAL ANALYSIS OF BIOMOLECULAR DATA USING UNICORE WORKFLOWS
SN - 978-989-674-019-1
AU - Borcz, M.
AU - Kluszczyński, R.
AU - Bała, P.
PY - 2010
SP - 217
EP - 220
DO - 10.5220/0002742102170220

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