Top Tweets for #ABLS22
We want to thank all on-site and virtual participants, speakers and sponsors of #ABLS22 for making this a great edition! We hope you were inspired and look forward to meeting you at our future conferences! #bioinformatics More info on the conference: https://t.co/M8M4TwGTcO
We're glad to announce that the #ABLS22 Poster Prize winner is @QuintelierK , Congratsπ₯π!
She presented a poster on a #computational pipeline for a complete, objective and fast analysis of #cytometry data. Find out more about her research here: https://t.co/lWkIZ1fLL5
That's it! My final tweet as conference reporter of #ABLS22. Special thanks to my fellow reporter @RuthSeurinck, we did it! π₯³πͺ
It is all about the enhancers! Great talk from @steinaerts @CBD_VIB on #singlecell gene regulatory inference to end #ABLS22. Impressive work on the fly atlas! Cannot wait to try out SCENIC+ myself! π
How can you enable data integration in #OpenScience? @cyril_pommier @INRAE_URGI gives a great overview of the challenges for phenotype and genotype data in plants π± and how to overcome them at #ABLS22.π
Wauw! Our own @Sai_Chananchida just presented her impressive work on her benchmark on deconvolution algorithms for spatial transcriptomics!π€― Do you have a dataset yourself? Please check out her work! Ps. Good luck with writing the paper π #ABLS22
Anastasia Dimitrova built impressive protein-protein interaction networks to pinpoint those genes that are involved in the roots in response to mechanical stress. Even though she claims she is not a bioinformatician, I think she is! π±π©βπ» #ABLS22
I heard of MOFA but I'm impressed by the new tool of @BrittaVelten called MEFISTO that is able to integrate multi-omic temporal or spatial datasets. Seems like something we should try out in our lab! πππ#ABLS22
Look at all these great Dambinis presenting their posters like a pro at #ABLS22! @LottePollaris @dwdnvwk @ArtuurCouckuyt (Yes, I might be a bit biased π)
Although data integration is, in my opinion, a difficult task, @JulioSaezRod and @saezlab managed to develop multiple tools that can use multi-omics datasets to bridge intra- and intercellular processes in a very impressive way. Everything finally comes together!πͺπ€― #ABLS22
I enjoyed giving a keynote presentation on our work to create the suspect spectral library from millions of untargeted metabolomics MS/MS spectra at the @VIBConferences #ABLS22 conference.
My slides are available here: https://t.co/RisPhTY7lF
I finally found all the cats! π± #ABLS22
Looking for a pipeline for phosphoproteomics? Lisa Van den Broeck shows how it can contribute to sustainable soybean π± protein production #ABLS22 π
Ever wondered to what chemicals we are exposed to throughout life? @ESchymanski @lcsb_uni_lu shows at #ABLS22 how #OpenScience bionformatics tools can advance #exposomics π€―π
Coming up 11:45 am #ABLS22
#OpenScience #exposomics #metabolomics #cheminformatics #massspec @pubchem @lcsb_uni_lu
Great intro right now on @GNPS_UCSD from @bittremieux
Defining and FAIRifying Exposomics Chemical Space for Enhanced Data Interpretation https://t.co/g1KC0IE2BV
Even though Bart GhesquiΓ¨re from @vib_mec_core showed an excel sheet to a room full of bioinformaticians, he explained in a great and understandable way how deterministic the nature of our metabolic system is. π #ABLS22
A beautiful example why public data is so important: @bittremieux built a suspect library by combining millions of publicly available MS/MS spectra into a big global reference network in order to annotate your spectra much quicker and more accurately! ππ€―πΎ #ABLS22
Coming up 11:45 am #ABLS22
#OpenScience #exposomics #metabolomics #cheminformatics #massspec @pubchem @lcsb_uni_lu
Great intro right now on @GNPS_UCSD from @bittremieux
Defining and FAIRifying Exposomics Chemical Space for Enhanced Data Interpretation https://t.co/g1KC0IE2BV
Last Seen Hashtags on Sotwe
Most Popular Users
Elon Musk 
@elonmusk
240.9M followers
Barack Obama
@barackobama
119.2M followers
Donald J. Trump
@realdonaldtrump
111.8M followers
Cristiano Ronaldo
@cristiano
111.6M followers
Narendra Modi
@narendramodi
107.1M followers
Rihanna
@rihanna
97.9M followers
NASA
@nasa
92.2M followers
Justin Bieber
@justinbieber
91.1M followers
KATY PERRY
@katyperry
88.2M followers
Taylor Swift
@taylorswift13
82.1M followers
Lady Gaga
@ladygaga
73.6M followers
Virat Kohli
@imvkohli
70.8M followers
Kim Kardashian
@kimkardashian
70.1M followers
YouTube
@youtube
68.7M followers
Bill Gates
@billgates
64.2M followers
Neymar Jr
@neymarjr
63.6M followers
The Ellen Show
@theellenshow
62.4M followers
CNN
@cnn
61.8M followers
Selena Gomez
@selenagomez
61.3M followers
X
@x
60.8M followers