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Related Experiment Videos

A Perl toolkit for LIMS development.

James A Morris1, Simon A Gayther, Ian J Jacobs

  • 1Translational Research Laboratories, UCL EGA Institute for Women's Health, University College London, UK. c.jones@ucl.ac.uk.

Source Code for Biology and Medicine
|March 21, 2008
PubMed
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Developing custom Laboratory Information Management Systems (LIMS) is now faster with ArrayPipeline, a new Perl toolkit. This tool simplifies creating bespoke LIMS applications, saving time and resources for laboratories.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Laboratory Science

Background:

  • High-throughput laboratory techniques generate vast amounts of data, necessitating Laboratory Information Management Systems (LIMS) for sample tracking, data storage, and reporting.
  • Commercial LIMS are often expensive and complex, while bespoke solutions offer flexibility and cost-effectiveness.
  • Perl is well-suited for LIMS development due to its database and web interaction capabilities, rapid development features, and strong community support.

Purpose of the Study:

  • To address the lack of development tools for creating bespoke LIMS in Perl.
  • To provide a toolkit that facilitates the rapid development of custom Laboratory Information Management Systems.

Main Methods:

  • Development of ArrayPipeline, a Perl toolkit featuring object-oriented methods.

Related Experiment Videos

  • Inclusion of Perl objects that encapsulate core LIMS components, such as database interaction, web page creation, error tracking, and user management.
  • Implementation of the MT_Plate object for microtitre plate management and extensibility for system-specific functionalities.

    • Main Results:

    • ArrayPipeline provides a suite of Perl objects and methods for efficient LIMS development.
    • The toolkit enables the creation of interactive web pages, database interactions, and robust user/session management.
    • Custom LIMS can be built by extending ArrayPipeline's core modules with system-specific methods.

    Conclusions:

    • ArrayPipeline significantly accelerates the development of in-house LIMS applications.
    • This toolkit encourages laboratories to adopt bespoke LIMS solutions tailored to their unique data management needs.
    • ArrayPipeline is a valuable resource for Perl developers working on LIMS projects.