title: How to Use the Candida Genome Database.
abstract: Studying Candida biology requires access to genomic sequence data in conjunction with experimental information that provides functional context to genes and proteins. The Candida Genome Database (CGD) integrates functional information about Candida genes and their products with a set of analysis tools that facilitate searching for sets of genes and exploring their biological roles. This chapter describes how the various types of information available at CGD can be searched, retrieved, and analyzed. Starting with the guided tour of the CGD Home page and Locus Summary page, this unit shows how to navigate the various assemblies of the C. albicans genome, how to use Gene Ontology tools to make sense of large-scale data, and how to access the microarray data archived at CGD.
authors.affiliation: Department of Genetics, Stanford University Medical School, S225 Grant Building, 259 Campus Drive, Stanford, CA, 94305-5120, USA.
authors.forename: Marek S
authors.initials: MS
authors.lastname: Skrzypek
authors.affiliation: Department of Genetics, Stanford University Medical School, S225 Grant Building, 259 Campus Drive, Stanford, CA, 94305-5120, USA.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Binkley
authors.affiliation: Department of Genetics, Stanford University Medical School, S225 Grant Building, 259 Campus Drive, Stanford, CA, 94305-5120, USA. gsherlock@stanford.edu.
authors.forename: Gavin
authors.initials: G
authors.lastname: Sherlock
mesh_terms: D002175:Candida / Q000235:genetics*; D002176:Candida albicans / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D063990:Gene Ontology; D056426:Genetic Loci; D016681:Genome, Fungal; D023281:Genomics / Q000379:methods*
keywords: Candida; Expression analysis; GO slim; Gene ontology; Genome database