International Mammalian Genome Society

The 15th International Mouse Genome Conference (2001)


POSTER 147 - LIMAS, A JAVA-BASED EXPERIMENTAL TRACKING SYSTEM FOR MICROARRAYS

Dr Sarah Webb
Medical Research Council MRC
MGC
Harwell
Oxon
OX11 0RD
UK7

Co-Authors: 1)Attwood A, 1)Freeman T, 1)Gardner P, 2)Greenfield A, 2)Pilicheva K, 2)Pritchard C, 2)Strivens M, 2)Tymowska-Lalanne Z, 2)Underhill P
Institutions: 1)MRC HGMP. 2)MRC - Harwell

Microarray analysis enables scientists to detect thousands of genes in a small sample simultaneously and to analyze the expression (upregulated or downregulated) of those genes. One of the problems with microarrays is the huge volume of information produced (typically 1000's of data points per array).

The development of LIMaS (Laboratory Information Management System for arrays) through a collaborative project between MRC Harwell and HGMP should help facilitate efficient storage and retrieval of information at every stage of the array production, not just result set acquisition. This has been achieved by having a system that tracks the laboratory process and allows users to write and save protocols and parameters for each experiment. For each experiment the user can visualise their array and query by spot. LIMaS has been developed with continual feedback from the laboratory, to ensure the system meets the users expectations and requirements.

LIMaS is flexible enough to be able to cope with different arrayers and array patterns. Data from LIMaS can be easily downloaded into other gene expression data repositories e.g. MGED and MAXdb from the HGMP. As such, LIMaS will be fully compliant with MIAME. Data can be imported into LIMaS through a data import sheet, allowing the user flexibility in data storage and selection of data columns they feel are more important.

For more information on our LIMaS please visit our website http://www.mgu.har.mrc.ac.uk/microarray


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Last modified: Saturday, November 3, 2012