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dc.contributor.authorZhan, Shuai
dc.contributor.authorReppert, Steven M.
dc.date2022-08-11T08:09:29.000
dc.date.accessioned2022-08-23T16:32:23Z
dc.date.available2022-08-23T16:32:23Z
dc.date.issued2013-01-01
dc.date.submitted2013-01-23
dc.identifier.citationNucleic Acids Res. 2013 Jan;41(Database issue):D758-63. doi: 10.1093/nar/gks1057. <a href="http://dx.doi.org/10.1093/nar/gks1057" target="_blank">Link to article on publisher's site</a>
dc.identifier.issn0305-1048 (Linking)
dc.identifier.doi10.1093/nar/gks1057
dc.identifier.pmid23143105
dc.identifier.urihttp://hdl.handle.net/20.500.14038/37873
dc.description.abstractThe 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.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=23143105&dopt=Abstract">Link to Article in PubMed</a>
dc.rightsCopyright 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.
dc.subjectAnimal Migration
dc.subjectBrain
dc.subjectButterflies
dc.subjectNeuropil
dc.subjectGenome, Insect
dc.subjectDatabases, Genetic
dc.subjectGenetics and Genomics
dc.subjectNeuroscience and Neurobiology
dc.titleMonarchBase: the monarch butterfly genome database
dc.typeArticle
dc.source.journaltitleNucleic acids research
dc.source.volume41
dc.source.issueD1
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1143&amp;context=neurobiology_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/neurobiology_pp/144
dc.identifier.contextkey3608538
refterms.dateFOA2022-08-23T16:32:23Z
html.description.abstract<p>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 <a href="http://monarchbase.umassmed.edu" target="_blank">http://monarchbase.umassmed.edu</a>). 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.</p>
dc.identifier.submissionpathneurobiology_pp/144
dc.contributor.departmentReppert Lab
dc.contributor.departmentDepartment of Neurobiology
dc.source.pagesD758-63


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