Goober: A fully integrated and user-friendly microarray data management and analysis solution for core labs and bench biologists

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doi doi:10.2390/biecoll-jib-2009-108
submission March 11, 2009
published August 23, 2009
NCBI PubMed PubMed ID 20134074

Wen Luo, Murali Gudipati, Kevin Jung, Mao Chen, and Keith B. Marschke

Correspondence should be addressed to:
Wen Luo
Ligand Pharmaceuticals INC, 10275 Science Center Drive, San Diego, CA 92121, USA
moc.dnagil@nulloulw


Abstract

Despite the large number of software tools developed to address different areas of microarray data analysis, very few offer an all-in-one solution with little learning curve. For microarray core labs, there are even fewer software packages available to help with their routine but critical tasks, such as data quality control (QC) and inventory management. We have developed a simple-to-use web portal to allow bench biologists to analyze and query complicated microarray data and related biological pathways without prior training. Both experiment-based and gene-based analysis can be easily performed, even for the first-time user, through the intuitive multi-layer design and interactive graphic links. While being friendly to inexperienced users, most parameters in Goober can be easily adjusted via drop-down menus to allow advanced users to tailor their needs and perform more complicated analysis. Moreover, we have integrated graphic pathway analysis into the website to help users examine microarray data within the relevant biological content. Goober also contains features that cover most of the common tasks in microarray core labs, such as real time array QC, data loading, array usage and inventory tracking. Overall, Goober is a complete microarray solution to help biologists instantly discover valuable information from a microarray experiment and enhance the quality and productivity of microarray core labs. The whole package is freely available at http://sourceforge.net/projects/goober. A demo web server is available at http://www.goober-array.org.

Reference

Wen Luo, Murali Gudipati, Kevin Jung, Mao Chen, and Keith B. Marschke. Goober: A fully integrated and user-friendly microarray data management and analysis solution for core labs and bench biologists. Journal of Integrative Bioinformatics, 6(1):108, 2009. Online Journal: http://journal.imbio.de/index.php?paper_id=108
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