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Prikvačeni tweet
Our AAV paper published in Science on Thanksgiving, 4+ years with
@PierceOgdenJ,@samsinai,@geochurch, continuing now at@dyno_tx, here’s how: including twists, turns, surprises, and many people to thank along the way!https://science.sciencemag.org/content/366/6469/1139 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Eric Kelsic proslijedio/la je Tweet
This has been a really fun one! challenging the wisdom that one needs a lot of data to do ML guided biodesign. In fact, if you have to choose, think about getting HQ small-N data aligned w your endpoint, vs HT proxy data. low-N ML now helps you succeed w the former!https://twitter.com/grigonomics/status/1220768850834284544 …
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Proud to be one of 16 startups in the GC18 batch from
@geochurch lab,@Dyno_Txhttps://www.nature.com/articles/s41587-019-0369-7 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Eric Kelsic proslijedio/la je Tweet
Congratulations to our poster award winners for best technology, best application, and people’s choice!pic.twitter.com/yYndeY2ggk
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Eric Kelsic proslijedio/la je Tweet
A little-known fact: doing an internship in Systems Biology at Harvard involves having fun. For example, going whale watching together. Apply by Feb 9! This is a paid internship, and we cover accommodation. And boats. https://sysbio.med.harvard.edu/summer-internships …pic.twitter.com/Ph12OmF2Ml
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I'm talking today at
#DMS2020 about our work engineering#AAV capsids for#GeneTherapy w/ colleagues in@geochurch lab and at@Dyno_Tx, livestream available for today's symposium and for the workshop tomorrow:https://brotmanbaty.org/event/dms2020/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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As
@paulg says, "the fact that the tests were unhackable was a lot of what attracted me to startups...one of the most striking things about startups is the degree to which you win by simply doing good work"Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Eric Kelsic proslijedio/la je Tweet
Congrats to Dyno SAB member and scientific cofounder Tomas Bjorklund for publication of the
@PNASNews paper on#AAV capsid engineering using synthetic peptide insertions. A beautiful work!https://www.pnas.org/content/early/2019/12/06/1910061116 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Eric Kelsic proslijedio/la je Tweet
So many potential applications beyond 16S... At the most basic level, this provides a way to sort a mixed population based on any variable sequence present in the cells be that a barcode, receptor, tail fiber, outer membrane protein...https://twitter.com/msmjetten/status/1204319272538955776 …
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Loved this approach the first time I saw it, now even better. Great approach to synthetic libraries and single molecule analysishttps://twitter.com/CarldeBoerPhD/status/1202638651458375680 …
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Eric Kelsic proslijedio/la je Tweet
1/ Why do wide, random neural networks form Gaussian processes, *regardless of architecture*? Let me give an overview in case you are too lazy to check out the paper https://arxiv.org/abs/1910.12478 or the code https://github.com/thegregyang/GP4A …. The proof has two parts…pic.twitter.com/cKtfpRGMQd
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Systems biology at its best. Great example of new mechanistic insights from a simple model. Congrats
@FulcoCharleshttps://twitter.com/jengreitz/status/1201639133468184577 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Eric Kelsic proslijedio/la je Tweet
Come see all the cool papers people have been publishing, or submit your own!https://github.com/yangkky/Machine-learning-for-proteins …
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Anyone looking to learn more about
#AAV#GeneTherapy today I highly recommend this one from Wang,@DrkbdcPhil & Gao: https://www.ncbi.nlm.nih.gov/pubmed/30710128Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
+ work from MelissaKotterman & DavidOjala from DavidSchaffer's lab, NRG2014 review one of the first things I read on AAV. That and Grimm & Zolotukhin MolTher 2015 were a great intro to the field of AAV engineering and still are.
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et al. Looking fwd to many more fruitful discussions!
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+ JudeSamulski, JurgenKleinschmidt, FlorianSonntag (who I just had the pleasure of meeting but whose work has been a major inspiration!), HildegardBuning, TerenceFlotte, GuangpingGao,
@DrkbdcPhil, MavisAgbandje-McKenna, ArunSrinivasan,@VivianGradinaru,@rkotin & JunghaeSuh!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
thanks also to KathyHigh, GiuseppeRonzitti FedericoMingozzi & FraserWright for helpful discussions in later years!
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- a framework for low-N protein engineering with data-efficient deep learning! Had a blast working with brilliant
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