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PineappleDB: An online pineapple bioinformatics resource

BACKGROUND: 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 b...

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Autores principales: Moyle, Richard L, Crowe, Mark L, Ripi-Koia, Jonni, Fairbairn, David J, Botella, José R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1260026/
https://www.ncbi.nlm.nih.gov/pubmed/16202174
http://dx.doi.org/10.1186/1471-2229-5-21
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author Moyle, Richard L
Crowe, Mark L
Ripi-Koia, Jonni
Fairbairn, David J
Botella, José R
author_facet Moyle, Richard L
Crowe, Mark L
Ripi-Koia, Jonni
Fairbairn, David J
Botella, José R
author_sort Moyle, Richard L
collection PubMed
description BACKGROUND: 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.
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spelling pubmed-12600262005-10-21 PineappleDB: An online pineapple bioinformatics resource Moyle, Richard L Crowe, Mark L Ripi-Koia, Jonni Fairbairn, David J Botella, José R BMC Plant Biol Database BACKGROUND: 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. BioMed Central 2005-10-05 /pmc/articles/PMC1260026/ /pubmed/16202174 http://dx.doi.org/10.1186/1471-2229-5-21 Text en Copyright © 2005 Moyle et al; licensee BioMed Central Ltd.
spellingShingle Database
Moyle, Richard L
Crowe, Mark L
Ripi-Koia, Jonni
Fairbairn, David J
Botella, José R
PineappleDB: An online pineapple bioinformatics resource
title PineappleDB: An online pineapple bioinformatics resource
title_full PineappleDB: An online pineapple bioinformatics resource
title_fullStr PineappleDB: An online pineapple bioinformatics resource
title_full_unstemmed PineappleDB: An online pineapple bioinformatics resource
title_short PineappleDB: An online pineapple bioinformatics resource
title_sort pineappledb: an online pineapple bioinformatics resource
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1260026/
https://www.ncbi.nlm.nih.gov/pubmed/16202174
http://dx.doi.org/10.1186/1471-2229-5-21
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