Arabidopsis database and stock resources

Methods Mol Biol. 2014:1062:65-96. doi: 10.1007/978-1-62703-580-4_4.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Amino Acid Sequence
  • Arabidopsis / genetics*
  • Arabidopsis / metabolism
  • Arabidopsis Proteins / chemistry
  • Arabidopsis Proteins / genetics
  • Data Mining
  • Databases, Genetic*
  • Gene Ontology
  • Genes, Plant
  • Metabolic Networks and Pathways
  • Molecular Sequence Annotation
  • Protein Conformation
  • Seeds / genetics

Substances

  • Arabidopsis Proteins