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iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum
The iBeetle-Base (http://ibeetle-base.uni-goettingen.de) makes available annotations of RNAi phenotypes, which were gathered in a large scale RNAi screen in the red flour beetle Tribolium castaneum (iBeetle screen). In addition, it provides access to sequence information and links for all Tribolium...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383896/ https://www.ncbi.nlm.nih.gov/pubmed/25378303 http://dx.doi.org/10.1093/nar/gku1054 |
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author | Dönitz, Jürgen Schmitt-Engel, Christian Grossmann, Daniela Gerischer, Lizzy Tech, Maike Schoppmeier, Michael Klingler, Martin Bucher, Gregor |
author_facet | Dönitz, Jürgen Schmitt-Engel, Christian Grossmann, Daniela Gerischer, Lizzy Tech, Maike Schoppmeier, Michael Klingler, Martin Bucher, Gregor |
author_sort | Dönitz, Jürgen |
collection | PubMed |
description | The iBeetle-Base (http://ibeetle-base.uni-goettingen.de) makes available annotations of RNAi phenotypes, which were gathered in a large scale RNAi screen in the red flour beetle Tribolium castaneum (iBeetle screen). In addition, it provides access to sequence information and links for all Tribolium castaneum genes. The iBeetle-Base contains the annotations of phenotypes of several thousands of genes knocked down during embryonic and metamorphic epidermis and muscle development in addition to phenotypes linked to oogenesis and stink gland biology. The phenotypes are described according to the EQM (entity, quality, modifier) system using controlled vocabularies and the Tribolium morphological ontology (TrOn). Furthermore, images linked to the respective annotations are provided. The data are searchable either for specific phenotypes using a complex ‘search for morphological defects’ or a ‘quick search’ for gene names and IDs. The red flour beetle Tribolium castaneum has become an important model system for insect functional genetics and is a representative of the most species rich taxon, the Coleoptera, which comprise several devastating pests. It is used for studying insect typical development, the evolution of development and for research on metabolism and pest control. Besides Drosophila, Tribolium is the first insect model organism where large scale unbiased screens have been performed. |
format | Online Article Text |
id | pubmed-4383896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43838962015-04-08 iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum Dönitz, Jürgen Schmitt-Engel, Christian Grossmann, Daniela Gerischer, Lizzy Tech, Maike Schoppmeier, Michael Klingler, Martin Bucher, Gregor Nucleic Acids Res Database Issue The iBeetle-Base (http://ibeetle-base.uni-goettingen.de) makes available annotations of RNAi phenotypes, which were gathered in a large scale RNAi screen in the red flour beetle Tribolium castaneum (iBeetle screen). In addition, it provides access to sequence information and links for all Tribolium castaneum genes. The iBeetle-Base contains the annotations of phenotypes of several thousands of genes knocked down during embryonic and metamorphic epidermis and muscle development in addition to phenotypes linked to oogenesis and stink gland biology. The phenotypes are described according to the EQM (entity, quality, modifier) system using controlled vocabularies and the Tribolium morphological ontology (TrOn). Furthermore, images linked to the respective annotations are provided. The data are searchable either for specific phenotypes using a complex ‘search for morphological defects’ or a ‘quick search’ for gene names and IDs. The red flour beetle Tribolium castaneum has become an important model system for insect functional genetics and is a representative of the most species rich taxon, the Coleoptera, which comprise several devastating pests. It is used for studying insect typical development, the evolution of development and for research on metabolism and pest control. Besides Drosophila, Tribolium is the first insect model organism where large scale unbiased screens have been performed. Oxford University Press 2014-11-05 2015-01-28 /pmc/articles/PMC4383896/ /pubmed/25378303 http://dx.doi.org/10.1093/nar/gku1054 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Dönitz, Jürgen Schmitt-Engel, Christian Grossmann, Daniela Gerischer, Lizzy Tech, Maike Schoppmeier, Michael Klingler, Martin Bucher, Gregor iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum |
title | iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum |
title_full | iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum |
title_fullStr | iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum |
title_full_unstemmed | iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum |
title_short | iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum |
title_sort | ibeetle-base: a database for rnai phenotypes in the red flour beetle tribolium castaneum |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383896/ https://www.ncbi.nlm.nih.gov/pubmed/25378303 http://dx.doi.org/10.1093/nar/gku1054 |
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