Blast2GO goes grid: developing a grid-enabled prototype for functional genomics analysis.

@article{citeulike:1234112, abstract = {The vast amount in complexity of data generated in Genomic Research implies that new dedicated and powerful computational tools need to be developed to meet their analysis requirements. Blast2GO (B2G) is a bioinformatics tool for Gene Ontology-based DNA or protein sequence annotation and function-based data mining. The application has been developed with the aim of affering an easy-to-use tool for functional genomics research. Typical B2G users are middle size genomics labs carrying out sequencing, ETS and microarray projects, handling datasets up to several thousand sequences. In the current version of B2G. The power and analytical potential of both annotation and function data-mining is somehow restricted to the computational power behind each particular installation. In order to be able to offer the possibility of an enhanced computational capacity within this bioinformatics application, a Grid component is being developed. A prototype has been conceived for the particular problem of speeding up the Blast searches to obtain fast results for large datasets. Many efforts have been done in the literature concerning the speeding up of Blast searches, but few of them deal with the use of large heterogeneous production Grid Infrastructures. These are the infrastructures that could reach the largest number of resources and the best load balancing for data access. The Grid Service under development will analyse requests based on the number of sequences, splitting them accordingly to the available resources. Lower-level computation will be performed through MPIBLAST. The software architecture is based on the WSRF standard.}, address = {Instituto de Aplicaciones de las Tecnologias de la Informaci\'{o}n y de las Comunicaciones Avanzadas, Universidad Polit\'{e}cnica de Valencia, Camino de Vera S/N, 46022 Valencia, Spain. gaparicio@itaca.upv.es}, author = {Aparicio, G. and G\"{o}tz, S. and Conesa, A. and Segrelles, D. and Blanquer, I. and Garc\'{i}a, J. M. and Hernandez, V. and Robles, M. and Talon, M. }, citeulike-article-id = {1234112}, issn = {0926-9630}, journal = {Stud Health Technol Inform}, keywords = {b2gpaper2, blast2go, my\_papers}, pages = {194--204}, posted-at = {2007-04-20 14:26:42}, priority = {0}, title = {Blast2GO goes grid: developing a grid-enabled prototype for functional genomics analysis.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/16823138}, volume = {120}, year = {2006} }

TY - JOUR ID - citeulike:1234112 L3 - citeulike-article-id:1234112 TI - Blast2GO goes grid: developing a grid-enabled prototype for functional genomics analysis. JF - Stud Health Technol Inform VL - 120 SP - 194 EP - 204 AD - Instituto de Aplicaciones de las Tecnologias de la Información y de las Comunicaciones Avanzadas, Universidad Politécnica de Valencia, Camino de Vera S/N, 46022 Valencia, Spain. gaparicio@itaca.upv.es SN - 0926-9630 N2 - The vast amount in complexity of data generated in Genomic Research implies that new dedicated and powerful computational tools need to be developed to meet their analysis requirements. Blast2GO (B2G) is a bioinformatics tool for Gene Ontology-based DNA or protein sequence annotation and function-based data mining. The application has been developed with the aim of affering an easy-to-use tool for functional genomics research. Typical B2G users are middle size genomics labs carrying out sequencing, ETS and microarray projects, handling datasets up to several thousand sequences. In the current version of B2G. The power and analytical potential of both annotation and function data-mining is somehow restricted to the computational power behind each particular installation. In order to be able to offer the possibility of an enhanced computational capacity within this bioinformatics application, a Grid component is being developed. A prototype has been conceived for the particular problem of speeding up the Blast searches to obtain fast results for large datasets. Many efforts have been done in the literature concerning the speeding up of Blast searches, but few of them deal with the use of large heterogeneous production Grid Infrastructures. These are the infrastructures that could reach the largest number of resources and the best load balancing for data access. The Grid Service under development will analyse requests based on the number of sequences, splitting them accordingly to the available resources. Lower-level computation will be performed through MPIBLAST. The software architecture is based on the WSRF standard. KW - b2gpaper2 KW - blast2go KW - my_papers AU - Aparicio, G AU - Götz, S AU - Conesa, A AU - Segrelles, D AU - Blanquer, I AU - García, JM AU - Hernandez, V AU - Robles, M AU - Talon, M PY - 2006/// UR - http://view.ncbi.nlm.nih.gov/pubmed/16823138 ER -