Leaf LIMS: A Flexible Laboratory Information Management System with a Synthetic Biology Focus

Thomas Craig, Richard Holland, Rosalinda D'Amore, James R Johnson, Hannah V McCue, Anthony West, Valentin Zulkower, Hille Tekotte, Yizhi Cai, Daniel Swan, Robert P Davey, Christiane Hertz-Fowler, Anthony Hall, Mark Caddick

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    Abstract

    This paper presents Leaf LIMS, a flexible laboratory information management system (LIMS) designed to address the complexity of synthetic biology workflows. At the project's inception there was a lack of a LIMS designed specifically to address synthetic biology processes, with most systems focused on either next generation sequencing or biobanks and clinical sample handling. Leaf LIMS implements integrated project, item, and laboratory stock tracking, offering complete sample and construct genealogy, materials and lot tracking, and modular assay data capture. Hence, it enables highly configurable task-based workflows and supports data capture from project inception to completion. As such, in addition to it supporting synthetic biology it is ideal for many laboratory environments with multiple projects and users. The system is deployed as a web application through Docker and is provided under a permissive MIT license. It is freely available for download at https://leaflims.github.io .

    Original languageEnglish
    JournalACS Synthetic Biology
    Early online date6 Sept 2017
    DOIs
    Publication statusPublished - 2017

    Keywords

    • Journal Article

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