Visual Informatics and Computational Genomics using the Graphical Pipeline Environment
-
1
UCLA, United States
-
2
UCI, United States
Contemporary informatics and genomics research require efficient, flexible and robust management of large heterogeneous data, advanced computational tools, powerful visualization, reliable hardware infrastructure, interoperability of computational resources, and detailed protocol provenance. The Pipeline Environment ( http://Pipeline.loni.ucla.edu ) is a client-server distributed computational environment that facilitates the visual graphical construction, execution, monitoring, validation and dissemination of advanced data analysis protocols. This presentation will demonstrate hands-on several informatics and genomics applications via the Pipeline environment and emphasize the graphical management of diverse genomics tools, the interoperability of informatics tools, and Grid resource management. Examples of tools that will be showcased include EMBOSS, mrFAST, GWASS, PLINK, MAQ, SAMtools, Bowtie, GATK and others ( http://pipeline.loni.ucla.edu/support/pipeline-workflows/ ). The Pipeline Environment may be tried out directly online without any account settings or software installation requirements ( http://Pipeline.loni.ucla.edu/PWS ).
Keywords:
General neuroinformatics,
Genomics and genetics
Conference:
4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011.
Presentation Type:
Demo Presentation
Topic:
General neuroinformatics
Citation:
Dinov
I,
Torri
F,
Macciardi
F,
Zamanyan
A and
Toga
A
(2011). Visual Informatics and Computational Genomics using the Graphical Pipeline Environment.
Front. Neuroinform.
Conference Abstract:
4th INCF Congress of Neuroinformatics.
doi: 10.3389/conf.fninf.2011.08.00081
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
17 Oct 2011;
Published Online:
19 Oct 2011.
*
Correspondence:
Dr. Ivo Dinov, UCLA, Los Angeles, United States, iwaterpolo@gmail.com