EMBL-EBIさんのイラストまとめ

Thanks to #deeplearning models, @PfamDB – now accessible in @InterProDB – is continuing to expand.

Find out how this collaboration with @GoogleAI is increasing the number of protein annotations in the database.

https://t.co/wibsY5ABTx

AI methods can help scientists analyse #cryoEM data.

Find out how researchers from @UniHalle developed a new method to automatically interpret cryo-EM data using open source #AI software including #AlphaFold. #KastritisLab

https://t.co/gmuPFFkLhT

With help from #deeplearning models, @PfamDB has expanded by almost 10% exceeding all expansion made to the database over the last decade 🤯

@Alexbateman1 discusses this work and what the future holds for protein family classification.

https://t.co/wibsY5j11Z

This is just one of the many new initiatives under the Infection Biology theme of @embl's new scientific programme Molecules to Ecosystems, which we’re proud to be a part of #beatNTD #EMBLInfectionBiology

https://t.co/sMRmNIXc0m

#AI for protein structure prediction is the @ScienceMagazine breakthrough and a @Nature top pick of the year 🎉

Thousands of protein structure predictions powered by @Deepmind's revolutionary AI are available in the #openaccess AlphaFoldDB

https://t.co/yV1ebwvnlV

Introducing Milo: an #opensource R software package that generates high-resolution differential abundance testing results of cell states from your #singlecell data. Find out more and give Milo a try 👇 @MarioniLab @NatureBiotech @sangerinstitute @CRUK_CI
https://t.co/4mfURvTEq2

Last chance to give us feedback on our 2018 Annual Report and help us improve the upcoming edition. The feedback survey will close on 22 November. Thank you for taking the time to read the report and to share your thoughts! https://t.co/U4rACqouoE

Got a minute? We would love to know what you think about the updated format of our 2018 Annual Report. Please share your thoughts and help us improve our publications
#Bioinformatics #OpenData
https://t.co/U4rACqouoE

Our Annual Report has had a makeover and the 2018 edition is now live on our website. Check out our latest achievements and find out how our data resources are used https://t.co/y3ZRWtI2eQ

EMBL-EBI officially begun its activity in 1994. Then, the only two databases were the EMBL Nucleotide Data Bank, now @enasequence, and Swiss-Prot, today part of @uniprot. See these excerpts from the @embl 1994 Scientific Report mentioning their accomplishments. #emblebi25