| Literature DB >> 24057361 |
Donghui Li1, Kate Dreher, Emma Knee, Jelena Brkljacic, Erich Grotewold, Tanya Z Berardini, Philippe Lamesch, Margarita Garcia-Hernandez, Leonore Reiser, Eva Huala.
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.Entities:
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Year: 2014 PMID: 24057361 DOI: 10.1007/978-1-62703-580-4_4
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745