High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID)

Barry R Zeeberg^{* 1} , Haiying Qin^{* 2} , Sudarshan Narasimhan³ , Margot Sunshine³ , Hong Cao³ , David W Kane³ , Mark Reimers³ , Robert M Stephens⁴ , David Bryant⁴ , Stanley K Burt⁴ , Eldad Elnekave⁵ , Danielle M Hari⁵ , Thomas A Wynn⁵ , Charlotte Cunningham-Rundles⁶ , Donn M Stewart² , David Nelson² and John N Weinstein¹

¹Genomics and Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA

²Metabolism Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA

³SRA International, 4300 Fair Lakes CT, Fairfax, VA 22033, USA

⁴Advanced Biomedical Computing Center, National Cancer Institute at Frederick, SAIC Frederick, PO Box B, Frederick, MD, 21702, USA

⁵Laboratory of Parasitic Disease, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA

⁶The Mount Sinai Medical Center, 1425 Madison Avenue, New York, NY 10029, USA