title: Using information from public Arabidopsis databases to aid research.
abstract: The volume of Arabidopsis information has increased enormously in recent years as a result of the sequencing of the genome and other large-scale genomic projects. Much of the data are stored in public databases, where data are organized, analyzed, and made freely accessible to the research community. These databases are resources that researchers can utilize for making predictions and developing testable hypotheses. The methods in this chapter describe ways to access and utilize Arabidopsis data and genomic resources found in databases.
authors.affiliation: Carnegie Institution, Department of Plant Biology, Stanford, CA, USA.
authors.forename: Margarita
authors.initials: M
authors.lastname: Garcia-Hernandez
authors.forename: Leonore
authors.initials: L
authors.lastname: Reiser
mesh_terms: D022126:Access to Information; D017360:Arabidopsis / Q000235:genetics*; D029681:Arabidopsis Proteins / Q000235:genetics; D032461:Chromosomes, Plant / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D020224:Expressed Sequence Tags; D018506:Gene Expression Regulation, Plant; D017343:Genes, Plant; D005821:Genetic Techniques; D018745:Genome, Plant; D020411:Oligonucleotide Array Sequence Analysis; D017422:Sequence Analysis, DNA; D012984:Software
chemical_list: D029681:Arabidopsis Proteins