CyberinfraV1, Main, Exploration, bibRecord, 000273

Using the iPlant collaborative discovery environment.

Identifieur interne : 000273 ( Main/Exploration ); précédent : 000272; suivant : 000274

Using the iPlant collaborative discovery environment.

Auteurs : Shannon L. Oliver ; Andrew J. Lenards ; Roger A. Barthelson ; Nirav Merchant ; Sheldon J. Mckay

Source :

Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.] [ 1934-340X ] ; 2013.

RBID : pubmed:23749752

English descriptors

KwdEn :
- Computational Biology, Database Management Systems, Genomics, Information Storage and Retrieval, Internet, Plants (genetics), Sequence Analysis (methods), Software, Workflow.
MESH :
- genetics : Plants.
- methods : Sequence Analysis.
- Computational Biology, Database Management Systems, Genomics, Information Storage and Retrieval, Internet, Software, Workflow.

Abstract

The iPlant Collaborative is an academic consortium whose mission is to develop an informatics and social infrastructure to address the "grand challenges" in plant biology. Its cyberinfrastructure supports the computational needs of the research community and facilitates solving major challenges in plant science. The Discovery Environment provides a powerful and rich graphical interface to the iPlant Collaborative cyberinfrastructure by creating an accessible virtual workbench that enables all levels of expertise, ranging from students to traditional biology researchers and computational experts, to explore, analyze, and share their data. By providing access to iPlant's robust data-management system and high-performance computing resources, the Discovery Environment also creates a unified space in which researchers can access scalable tools. Researchers can use available Applications (Apps) to execute analyses on their data, as well as customize or integrate their own tools to better meet the specific needs of their research. These Apps can also be used in workflows that automate more complicated analyses. This module describes how to use the main features of the Discovery Environment, using bioinformatics workflows for high-throughput sequence data as examples.

DOI: 10.1002/0471250953.bi0122s42
PubMed: 23749752

Affiliations:

Le document en format XML

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<author><name sortKey="Oliver, Shannon L" sort="Oliver, Shannon L" uniqKey="Oliver S" first="Shannon L" last="Oliver">Shannon L. Oliver</name>
<affiliation><nlm:affiliation>The iPlant Collaborative.</nlm:affiliation>
<wicri:noCountry code="no comma">The iPlant Collaborative.</wicri:noCountry>
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<author><name sortKey="Lenards, Andrew J" sort="Lenards, Andrew J" uniqKey="Lenards A" first="Andrew J" last="Lenards">Andrew J. Lenards</name>
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<author><name sortKey="Merchant, Nirav" sort="Merchant, Nirav" uniqKey="Merchant N" first="Nirav" last="Merchant">Nirav Merchant</name>
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<author><name sortKey="Mckay, Sheldon J" sort="Mckay, Sheldon J" uniqKey="Mckay S" first="Sheldon J" last="Mckay">Sheldon J. Mckay</name>
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<author><name sortKey="Mckay, Sheldon J" sort="Mckay, Sheldon J" uniqKey="Mckay S" first="Sheldon J" last="Mckay">Sheldon J. Mckay</name>
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<series><title level="j">Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.]</title>
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<term>Plants (genetics)</term>
<term>Sequence Analysis (methods)</term>
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<term>Database Management Systems</term>
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<front><div type="abstract" xml:lang="en">The iPlant Collaborative is an academic consortium whose mission is to develop an informatics and social infrastructure to address the "grand challenges" in plant biology. Its cyberinfrastructure supports the computational needs of the research community and facilitates solving major challenges in plant science. The Discovery Environment provides a powerful and rich graphical interface to the iPlant Collaborative cyberinfrastructure by creating an accessible virtual workbench that enables all levels of expertise, ranging from students to traditional biology researchers and computational experts, to explore, analyze, and share their data. By providing access to iPlant's robust data-management system and high-performance computing resources, the Discovery Environment also creates a unified space in which researchers can access scalable tools. Researchers can use available Applications (Apps) to execute analyses on their data, as well as customize or integrate their own tools to better meet the specific needs of their research. These Apps can also be used in workflows that automate more complicated analyses. This module describes how to use the main features of the Discovery Environment, using bioinformatics workflows for high-throughput sequence data as examples.</div>
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<tree><noCountry><name sortKey="Barthelson, Roger A" sort="Barthelson, Roger A" uniqKey="Barthelson R" first="Roger A" last="Barthelson">Roger A. Barthelson</name>
<name sortKey="Lenards, Andrew J" sort="Lenards, Andrew J" uniqKey="Lenards A" first="Andrew J" last="Lenards">Andrew J. Lenards</name>
<name sortKey="Mckay, Sheldon J" sort="Mckay, Sheldon J" uniqKey="Mckay S" first="Sheldon J" last="Mckay">Sheldon J. Mckay</name>
<name sortKey="Merchant, Nirav" sort="Merchant, Nirav" uniqKey="Merchant N" first="Nirav" last="Merchant">Nirav Merchant</name>
<name sortKey="Oliver, Shannon L" sort="Oliver, Shannon L" uniqKey="Oliver S" first="Shannon L" last="Oliver">Shannon L. Oliver</name>
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Serveur d'exploration Cyberinfrastructure

Using the iPlant collaborative discovery environment.

Using the iPlant collaborative discovery environment.

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

	Serveur d'exploration Cyberinfrastructure
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