Abstract

AbstractMany areas of life sciences research involve integrating terabytes of heterogeneous, distributed and autonomous data available on the Web. The myGrid project has addressed these challenging problems by developing and applying novel grid and semantic web services technology to life science data integration, particularly genome annotation and microarray analysis. This presentation outlines the past, present and future of the Taverna workflow system.

Highlights

  • New castleManchester Notti nghamSheffi eld Hi nxton SouthamptonParticular thanks to the other members of the Taverna project, http://taverna.sf.net “e-Science is about global collaboration in key areas of science and the generation of [computing] infrastructure that will enable it.”Sir John Taylor Director Office of Science and Technology, UK e.g. e-Science analagous to e-Business

  • Life Sciences, especially molecular biology, has terabytes of heterogeneous, autonomous data and tools on the Web that need to integrating in order to understand DNA, genes, genomes, proteins, biological pathways etc 858 public databases

  • Generated using event-listeners, stored in database based on an RDF model, relies on uniquely identifying objects using Life Sciences Identifiers (LSIDs)

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Summary

Introduction

Particular thanks to the other members of the Taverna project, http://taverna.sf.net “e-Science is about global collaboration in key areas of science and the generation of [computing] infrastructure that will enable it.”. For Life Sciences, and Physical Sciences myGrid aimed to support the e-scientist. Life Sciences, especially molecular biology, has terabytes of heterogeneous, autonomous data and tools on the Web that need to integrating in order to understand DNA, genes, genomes, proteins, biological pathways etc 858 public databases. Nucleic Acids Research, 33(Web Server issue):, Jul 2005. Between 2,000 and 3,000 public services (e.g. sequence analysis programs like BLAST that use Web Service standards like WSDL and SOAP). All these databases, servers and services allow us to perform many different sorts of computations on DNA, RNA and Proteins. Genome annotation Systems biology Phylogenetics, evolution Microarray analysis (e-)Scientists need combine all these resources in their experiments, in silico, e.g. on the web. Sh a ri n g services & e xp e ri m e n ts and tools that formalize and support the lifecycle:

-Result Display
The Grid
Publish Annotator
Conclusions
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