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AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory.

Authors :
Sparkes, Andrew
Clare, Amanda
Source :
Bioinformatics. May2012, Vol. 28 Issue 10, p1390-1397. 8p.
Publication Year :
2012

Abstract

Motivation: Modern automated laboratories need substantial data management solutions to both store and make accessible the details of the experiments they perform. To be useful, a modern Laboratory Information Management System (LIMS) should be flexible and easily extensible to support evolving laboratory requirements, and should be based on the solid foundations of a robust, well-designed database. We have developed such a database schema to support an automated laboratory that performs experiments in systems biology and high-throughput screening.Results: We describe the design of the database schema (AutoLabDB), detailing the main features and describing why we believe it will be relevant to LIMS manufacturers or custom builders. This database has been developed to support two large automated Robot Scientist systems over the last 5 years, where it has been used as the basis of an LIMS that helps to manage both the laboratory and all the experiment data produced.Availability and implementation: The database schema has been made available as open source (BSD license), so that others may use, extend and improve it to meet their own needs. Example software interfaces to the database are also provided. http://autolabdb.sourceforge.net/Contact: afc@aber.ac.uk [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
13674803
Volume :
28
Issue :
10
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
75371391
Full Text :
https://doi.org/10.1093/bioinformatics/bts140