Arabidopsis database and stock resources.
The volume of Arabidopsis information has increased enormously in recent years as a result of the sequencing of the reference genome and other large-scale functional genomics projects. Much of the data is 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 and stock centers.
Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Donghui
D
Li
Kate
K
Dreher
Emma
E
Knee
Jelena
J
Brkljacic
Erich
E
Grotewold
Tanya Z
TZ
Berardini
Philippe
P
Lamesch
Margarita
M
Garcia-Hernandez
Leonore
L
Reiser
Eva
E
Huala
D000595:Amino Acid Sequence; D017360:Arabidopsis / Q000235:genetics* / Q000378:metabolism; D029681:Arabidopsis Proteins / Q000737:chemistry / Q000235:genetics; D057225:Data Mining; D030541:Databases, Genetic; D063990:Gene Ontology; D017343:Genes, Plant; D053858:Metabolic Networks and Pathways; D058977:Molecular Sequence Annotation; D011487:Protein Conformation; D012639:Seeds / Q000235:genetics
D029681:Arabidopsis Proteins