TY - GEN
T1 - MotifNetwork
T2 - 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
AU - Tilson, Jeffrey L.
AU - Blatecky, Alan
AU - Rendon, Gloria
AU - Ger, Mao Feng
AU - Jakobsson, Eric
PY - 2007
Y1 - 2007
N2 - It has been recently demonstrated that the understanding of gene interactions, gene function and ultimately gene and organism evolutionary processes, is facilitated by determination of relationships among the constituent "domains" and "motifs." This understanding, however, comes at the expense of substantial computation necessary to support the required data mining. The detailed computations behind a typical domain and motif analysis are described in our recently developed grid-enabled environment called the MotifNetwork. In this work, the MotifNetwork is applied, for the first time, to large genome-wide association analysis of the entire Apis mellifera (honeybee) genome. Several impediments to this computation are identified including weaknesses in workflow creation and enactment capabilities and limitations in hardware capacity. Nonetheless, though generated in a non-optimum fashion, preliminary results of the honeybee analysis are presented. Lastly, suggestions for future work are summarized.
AB - It has been recently demonstrated that the understanding of gene interactions, gene function and ultimately gene and organism evolutionary processes, is facilitated by determination of relationships among the constituent "domains" and "motifs." This understanding, however, comes at the expense of substantial computation necessary to support the required data mining. The detailed computations behind a typical domain and motif analysis are described in our recently developed grid-enabled environment called the MotifNetwork. In this work, the MotifNetwork is applied, for the first time, to large genome-wide association analysis of the entire Apis mellifera (honeybee) genome. Several impediments to this computation are identified including weaknesses in workflow creation and enactment capabilities and limitations in hardware capacity. Nonetheless, though generated in a non-optimum fashion, preliminary results of the honeybee analysis are presented. Lastly, suggestions for future work are summarized.
KW - Grid computing
KW - High throughput genomics
KW - Parallel processing
KW - Workflow systems
UR - https://www.scopus.com/pages/publications/47649083826
UR - https://www.scopus.com/pages/publications/47649083826#tab=citedBy
U2 - 10.1109/BIBE.2007.4375662
DO - 10.1109/BIBE.2007.4375662
M3 - Conference contribution
AN - SCOPUS:47649083826
SN - 1424415098
SN - 9781424415090
T3 - Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
SP - 872
EP - 879
BT - Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Y2 - 14 January 2007 through 17 January 2007
ER -