| URL: | https://kaikobase.dna.affrc.go.jp |
| Full name: | : an integrated silkworm genome database and data mining tool |
| Description: | KAIKObase is a silkworm genome database with a genetic map viewer and a genome viewer. It also integrates several easy-to-use data mining tools. |
| Year founded: | 2009 |
| Last update: | 2022-03-12 |
| Version: | 4.2.0 |
| Accessibility: |
Accessible
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| Country/Region: | Japan |
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| Major species: | |
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| University/Institution: | National Institute of Agrobiological Sciences |
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| Country/Region: | Japan |
| Contact name (PI/Team): | Kazuei Mita |
| Contact email (PI/Helpdesk): | kmita@nias.affrc.go.jp |
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An update of KAIKObase, the silkworm genome database. [PMID: 33645624]
KAIKObase was established in 2009 as the genome database of the domesticated silkworm Bombyx mori. It provides several gene sets and genetic maps as well as genome annotation obtained from the sequencing project of the International Silkworm Genome Consortium in 2008. KAIKObase has been used widely for silkworm and insect studies even though there are some erroneous predicted genes due to misassembly and gaps in the genome. In 2019, we released a new silkworm genome assembly, showing improvements in gap closure and covering more and longer gene models. Therefore, there is a need to include new genome and new gene models to KAIKObase. In this article, we present the updated contents of KAIKObase and the methods to generate, integrate and analyze the data sets. Database URL: https://kaikobase.dna.affrc.go.jp. |
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KAIKObase: an integrated silkworm genome database and data mining tool. [PMID: 19843344]
BACKGROUND: The silkworm, Bombyx mori, is one of the most economically important insects in many developing countries owing to its large-scale cultivation for silk production. With the development of genomic and biotechnological tools, B. mori has also become an important bioreactor for production of various recombinant proteins of biomedical interest. In 2004, two genome sequencing projects for B. mori were reported independently by Chinese and Japanese teams; however, the datasets were insufficient for building long genomic scaffolds which are essential for unambiguous annotation of the genome. Now, both the datasets have been merged and assembled through a joint collaboration between the two groups. |