The ability to reconstruct and find genes that belong or are connected to a gene regulatory network is of essential importance in biology, in order to understand how the biological processes of an organism work. The main limitation in performing gene network expansion is related to the huge amount of computations needed to discover new candidate genes. Given these premises we decided to adopt the BOINC platform that allows us to use the very powerful computational resources of the volunteers. We set up a BOINC server in which we developed a specific work generator that implements our gene network expansion algorithm. Furthermore, we developed an ad hoc version of the PC algorithm (PC++) able to run in the BOINC environment, on the client computers. We present and discuss some statistics and preliminary scientific results of the gene@home BOINC project, the first one hosted by the TN-Grid infrastructure

Asnicar, F.; Sella, N.; Masera, L.; Morettin, P.; Tolio, T.; Semeniuta, S.; Moser, C.; Blanzieri, E.; Cavecchia, V. (2015). TN-Grid and gene@home project: volunteer computing for bioinformatics. In: Ivashko, E. (ed.) Second International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2015), Petrozavodsk, Russia, September 14-18, 2015. Petrozavodsk: Russian Academy of Sciences. url: http://ceur-ws.org/Vol-1502/paper1.pdf handle: http://hdl.handle.net/10449/26945

TN-Grid and gene@home project: volunteer computing for bioinformatics

Moser, Claudio;
2015-01-01

Abstract

The ability to reconstruct and find genes that belong or are connected to a gene regulatory network is of essential importance in biology, in order to understand how the biological processes of an organism work. The main limitation in performing gene network expansion is related to the huge amount of computations needed to discover new candidate genes. Given these premises we decided to adopt the BOINC platform that allows us to use the very powerful computational resources of the volunteers. We set up a BOINC server in which we developed a specific work generator that implements our gene network expansion algorithm. Furthermore, we developed an ad hoc version of the PC algorithm (PC++) able to run in the BOINC environment, on the client computers. We present and discuss some statistics and preliminary scientific results of the gene@home BOINC project, the first one hosted by the TN-Grid infrastructure
Volunteer computing
BOINC
Bioinformatics
Distributed computing
Gene network expansion
System biology
Computational biology
2015
Asnicar, F.; Sella, N.; Masera, L.; Morettin, P.; Tolio, T.; Semeniuta, S.; Moser, C.; Blanzieri, E.; Cavecchia, V. (2015). TN-Grid and gene@home project: volunteer computing for bioinformatics. In: Ivashko, E. (ed.) Second International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2015), Petrozavodsk, Russia, September 14-18, 2015. Petrozavodsk: Russian Academy of Sciences. url: http://ceur-ws.org/Vol-1502/paper1.pdf handle: http://hdl.handle.net/10449/26945
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/26945
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