4.7 Article

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

Journal

ACS SYNTHETIC BIOLOGY
Volume 6, Issue 12, Pages 2273-2280

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssynbio.7b00212

Keywords

lab information management system; synthetic biology; data management; LIMS; automation

Funding

  1. BBSRC [BB/M00094X/1, BB/M025659/1, BB/M025640/1]
  2. GeneMill
  3. Earlham Institute
  4. Edinburgh Genome Foundry
  5. BBSRC [BB/M000966/1, BB/M00029X/1, BB/M025624/1, BB/M018040/1, BB/M025640/1, BB/M00094X/1, BB/M005690/1, BB/M005690/2, BB/M025659/1, BB/N022548/1] Funding Source: UKRI
  6. EPSRC [EP/P017401/1] Funding Source: UKRI
  7. Biotechnology and Biological Sciences Research Council [BBS/E/T/000PR9815, BBS/OS/GC/000001, BB/N022548/1, BB/M018040/1, BB/M025659/1, BB/M00029X/1, BB/M005690/1, BB/M005690/2, BB/M00094X/1, BB/M025640/1, BB/M000966/1, BB/M025624/1] Funding Source: researchfish
  8. Engineering and Physical Sciences Research Council [EP/P017401/1] Funding Source: researchfish

Ask authors/readers for more resources

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.

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