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A Laboratory Information Management System (LIMS) for a high throughput genetic platform aimed at candidate gene mutation screening
Author(s) -
Catherine Voegele,
Sean V. Tavtigian,
Daswin De Silva,
S. Cuber,
Alun Thomas,
Florence Le CalvezKelm
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm365
Subject(s) - workflow , computer science , throughput , database , table (database) , tracking system , process (computing) , source code , operating system , filter (signal processing) , wireless , computer vision
High throughput mutation screening in an automated environment generates large data sets that have to be organized and stored reliably. Complex multistep workflows require strict process management and careful data tracking. We have developed a Laboratory Information Management Systems (LIMS) tailored to high throughput candidate gene mutation scanning and resequencing that respects these requirements. Designed with a client/server architecture, our system is platform independent and based on open-source tools from the database to the web application development strategy. Flexible, expandable and secure, the LIMS, by communicating with most of the laboratory instruments and robots, tracks samples and laboratory information, capturing data at every step of our automated mutation screening workflow. An important feature of our LIMS is that it enables tracking of information through a laboratory workflow where the process at one step is contingent on results from a previous step.

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