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dc.contributor.authorMoyle, Richard L.
dc.contributor.authorCrowe, Mark L.
dc.contributor.authorRipi-Koia, Jonni
dc.contributor.authorFairbairn, David J.
dc.contributor.authorBotella, Jose R.
dc.date.accessioned2008-11-06T01:35:08Z
dc.date.available2008-11-06T01:35:08Z
dc.date.issued2005-10
dc.identifier.citationMoyle, R. L., Crowe, M. L., Ripi-Koia, J., Fairbairn, D. J. & Botella, J.R. (2005). PineappleDB: An online pineapple bioinformatics resource. BMC Plant Biology, 5, 1- 5.en_US
dc.identifier.issn1471-2229
dc.identifier.urihttps://hdl.handle.net/10289/1283
dc.description.abstractBackground: A world first pineapple EST sequencing program has been undertaken to investigate genes expressed during non-climacteric fruit ripening and the nematode-plant interaction during root infection. Very little is known of how non-climacteric fruit ripening is controlled or of the molecular basis of the nematode-plant interaction. PineappleDB was developed to provide the research community with access to a curated bioinformatics resource housing the fruit, root and nematode infected gall expressed sequences. Description: PineappleDB is an online, curated database providing integrated access to annotated expressed sequence tag (EST) data for cDNA clones isolated from pineapple fruit, root, and nematode infected root gall vascular cylinder tissues. The database currently houses over 5600 EST sequences, 3383 contig consensus sequences, and associated bioinformatic data including splice variants, Arabidopsis homologues, both MIPS based and Gene Ontology functional classifications, and clone distributions. The online resource can be searched by text or by BLAST sequence homology. The data outputs provide comprehensive sequence, bioinformatic and functional classification information. Conclusion: The online pineapple bioinformatic resource provides the research community with access to pineapple fruit and root/gall sequence and bioinformatic data in a user-friendly format. The search tools enable efficient data mining and present a wide spectrum of bioinformatic and functional classification information. PineappleDB will be of broad appeal to researchers investigating pineapple genetics, non-climacteric fruit ripening, root-knot nematode infection, crassulacean acid metabolism and alternative RNA splicing in plants.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.urihttp://www.biomedcentral.com/1471-2229/5/21en_US
dc.rightsThis article has been published in the journal: BMC Plant Biology. Copyright © 2005 Moyle et al; licensee BioMed Central Ltd.en_US
dc.titlePineappleDB: An online pineapple bioinformatics resourceen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1186/1471-2229-5-21en_US


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