title: GCOD - GeneChip Oncology Database.
abstract: BACKGROUND
  DNA microarrays have become a nearly ubiquitous tool for the study of human disease, and nowhere is this more true than in cancer. With hundreds of studies and thousands of expression profiles representing the majority of human cancers completed and in public databases, the challenge has been effectively accessing and using this wealth of data.
  
  
  METHODS
  To address this issue we have collected published human cancer gene expression datasets generated on the Affymetrix GeneChip platform, and carefully annotated those studies with a focus on providing accurate sample annotation. To facilitate comparison between datasets, we implemented a consistent data normalization and transformation protocol and then applied stringent quality control procedures to flag low-quality assays.
  
  
  CONCLUSIONS
  The resulting resource, the GeneChip Oncology Database, is available through a publicly accessible website that provides several query options and analytical tools through an intuitive interface.
authors.affiliation: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
authors.forename: Fenglong
authors.initials: F
authors.lastname: Liu
authors.forename: Joseph A
authors.initials: JA
authors.lastname: White
authors.forename: Corina
authors.initials: C
authors.lastname: Antonescu
authors.forename: Daniel
authors.initials: D
authors.lastname: Gusenleitner
authors.forename: John
authors.initials: J
authors.lastname: Quackenbush
mesh_terms: D030541:Databases, Genetic; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D014584:User-Computer Interface