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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan

4 Issues per year


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
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Volume 6, Issue 1

Issues

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

Wen Luo
  • Corresponding author
  • Ligand Pharmaceuticals, 10275 Science Center Drive, San Diego, CA 92121, United States of America
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/ Murali Gudipati
  • Ligand Pharmaceuticals, 10275 Science Center Drive, San Diego, CA 92121, United States of America
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/ Kevin Jung
  • Current Address: Department of Interface/Application, Clinical Services, Cardinal Health, 10020 Pacific Mesa Blvd., San Diego, CA 92121, United States of America
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/ Mao Chen
  • Ligand Pharmaceuticals, 10275 Science Center Drive, San Diego, CA 92121, United States of America
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/ Keith B. Marschke
  • Ligand Pharmaceuticals, 10275 Science Center Drive, San Diego, CA 92121, United States of America
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Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2009-108

Summary

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.

About the article

Published Online: 2016-10-18

Published in Print: 2009-03-01


Citation Information: Journal of Integrative Bioinformatics, Volume 6, Issue 1, Pages 15–24, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2009-108.

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© 2009 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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