Display Settings:

Format

Send to:

Choose Destination
We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
    BMC Bioinformatics. 2005 Dec 1;6 Suppl 4:S24.

    Web services and workflow management for biological resources.

    Source

    Bioinformatics and Structural Proteomics, National Cancer Research Institute (IST), Genova, I-16132, Italy. paolo.romano@istge.it

    Abstract

    BACKGROUND:

    The completion of the Human Genome Project has resulted in large quantities of biological data which are proving difficult to manage and integrate effectively. There is a need for a system that is able to automate accesses to remote sites and to "understand" the information that it is managing in order to link data properly. Workflow management systems combined with Web Services are promising Information and Communication Technologies (ICT) tools. Some have already been proposed and are being increasingly applied to the biomedical domain, especially as many biology-related Web Services are now becoming available. Information on biological resources and on genomic sequences mutations are two examples of very specialized datasets that are useful for specific research domains.

    RESULTS:

    The architecture of a system that is able to access and execute predefined workflows is presented in this paper. Web Services allowing access to the IARC TP53 Mutation Database and CABRI catalogues of biological resources have been implemented and are available on-line. Example workflows which retrieve data from these Web Services have also been created and are available on-line.

    CONCLUSION:

    We present a general architecture and some building blocks for the implementation of a system that is able to remotely execute workflows of biomedical interest and show how this approach can effectively produce useful outputs. The further development and implementation of Web Services allowing access to an exhaustive set of biomedical databases and the creation of effective and useful workflows will improve the automation of in-silico analysis.

    PMID:
    16351751
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC1866383
    Free PMC Article

    Images from this publication.See all images (3)Free text

    Figure 1
    Figure 2
    Figure 3

      Supplemental Content

      Icon for BioMed Central Icon for PubMed Central

      Save items

      Recent activity

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      Write to the Help Desk