Hi everybody,

Join us next Wednesday, *April 2nd, at 12 PM CDT* for our monthly webinar with *Gregor Bucher* from the University of Gottingen. He will present iBeetle-Base https://ibeetle-base.uni-goettingen.de/, an integrated genomic and phenotypic information resource for red flour beetle research and a new AgBioData member database.

I have included more details about the webinar and the Zoom link to attend the webinar below.

I hope you will join us.

Best,

Annarita

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*Abstracts:* *iBeetle-Base - a phenotypic database with community edition* The red flour beetle *Tribolium castaneum* has become an important insect model organism to study gene function and RNAi mediated pest control. iBeetle-Base was developed to document morphological phenotypes from the genome-wide RNAi gene-knockdown screen iBeetle and has become an integrated resource of genomic and phenotypic information for *Tribolium castaneum* research. Since our last release in 2024, iBeetle-Base allows the community to contribute RNAi phenotypes and associate Gene Ontology terms and publications with *Tribolium* genes (“community addition”). This novel functionality overcomes the lack of curators for databases of small communities. Further, we improved data accessibility, via programming interfaces alongside traditional HTML pages, which facilitates the automatic usage of the database by scripting and third-party tools. Importantly, this phenotypic database with its special adaptations to small research communities could become the nucleus for other interlinked databases in the future. iBeetle-Base is freely accessible at https://ibeetle-base.uni-goettingen.de/

*| 1P ET | 12P CT | 11A MT | 10A PT |*

Find your local time here https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly+Webinar+-+Gregor+Bucher+on+iBeetle-Base&iso=20250402T12&p1=64&ah=1

*Join Zoom Meetinghttps://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09 https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09*

Meeting ID: 820 3835 6125 Passcode: 160683