Document Type
Journal ArticlePublication Date
2013-01-01Keywords
Animal MigrationBrain
Butterflies
Neuropil
Genome, Insect
Databases, Genetic
Genetics and Genomics
Neuroscience and Neurobiology
Metadata
Show full item recordAbstract
The monarch butterfly (Danaus plexippus) is emerging as a model organism to study the mechanisms of circadian clocks and animal navigation, and the genetic underpinnings of long-distance migration. The initial assembly of the monarch genome was released in 2011, and the biological interpretation of the genome focused on the butterfly's migration biology. To make the extensive data associated with the genome accessible to the general biological and lepidopteran communities, we established MonarchBase (available at http://monarchbase.umassmed.edu). The database is an open-access, web-available portal that integrates all available data associated with the monarch butterfly genome. Moreover, MonarchBase provides access to an updated version of genome assembly (v3) upon which all data integration is based. These include genes with systematic annotation, as well as other molecular resources, such as brain expressed sequence tags, migration expression profiles and microRNAs. MonarchBase utilizes a variety of retrieving methods to access data conveniently and for integrating biological interpretations.Source
Nucleic Acids Res. 2013 Jan;41(Database issue):D758-63. doi: 10.1093/nar/gks1057. Link to article on publisher's siteDOI
10.1093/nar/gks1057Permanent Link to this Item
http://hdl.handle.net/20.500.14038/37873PubMed ID
23143105Related Resources
Link to Article in PubMedRights
Copyright The Author(s) 2012. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.ae974a485f413a2113503eed53cd6c53
10.1093/nar/gks1057