Happy to share two preprints where we demonstrate Scalable POoled Targeting with a LIgandable Tag at Endogenous Sites (#SPOTLITES) for protein imaging, perturbation and recruitment. Led by v v talented @YSereb and @stephsansbury
https://t.co/AnZT04t2Hl
https://t.co/n8mqxLvIRX
The MHC has uniquely high levels of genetic diversity, balancing selection, and many GWAS signals. But many questions still remain. In a new preprint @AlyssaLyn4ta revisits old questions about trans-species polymorphism, with really striking results:
We've known for a long time that a large fraction of noncoding GWAS hits are not currently explained by eQTLs. Why?? I'm excited to share our new preprint on this! Take home: GWAS and eQTL assays maximize power for different types of variants. (1/n)
https://t.co/JUFXnE7zLU
We're excited to announce the open sourcing of redun, an expressive, efficient, and easy-to-use workflow framework designed to deal with complex, rapidly evolving scientific workflows spanning multiple data types. Read more here: https://t.co/kwuMOrpI01
Our work profiling #SARSCoV2 HLA-I peptidome is now published! https://t.co/ucGDRkdqpU. We discovered T cell epitopes from out-of-frame ORFs in S and N not captured by current vaccines, some of which elicit stronger T cell responses than immunodominant canonical epitopes. 🧵
How can we systematically measure gene regulatory networks around key disease genes?
Excited to share our new work using CRISPR KOs in primary T cells, with @MarsonLab, led by @JakeFreimer and Oren Shaked:
https://t.co/FlF3aKvsFn
We're thrilled to announce our $400M Series C financing, which will greatly enable us to continue advancing our vision to reshape the discovery and development of transformative medicines by leveraging #machinelearning and biology and chemistry at scale. https://t.co/vd8gqJk5Cc
We are excited to announce the closing of our $143 million Series B financing, supporting expansion of our #machinelearning and data generation capabilities to enable advancement of therapies toward the clinic. #ML4Medicines Read more here: https://t.co/BpxwUOwpkb
I am very proud of the team we’ve built at insitro and our accomplishments over the past two years. We are grateful to our investors for supporting us in our goal to transform patient lives via the synthesis of machine learning and biology at scale. Follow @insitro to learn more.
Thank you @halbfinger for @nytimes coverage of our work on identifying and predicting ahead of time regions of COVID-19 outbreaks from one-minute population-wide surveys of coronavirus symptoms
https://t.co/KGGEpACcdA
Read our scientific preprint:
https://t.co/PSn3zhGEQx
תזכורת: השאלון היומי של תסמיני קורונה
דקה מזמנכם, אנונימי
https://t.co/60x667BCwj
בעזרת המידע אנחנו מנסים לאתר, ולנבא מראש את אזורי התפשטות הנגיף
https://t.co/OJ5ezmpH50
@guyzo@talschneider@NadavEyalDesk
A beautiful work from the amazing @WeingartenShira uses MPRA to learn how transcription regulation is encoded in human promoters. Congrats @WeingartenShira!!
My final(!) paper from @segal_eran lab with the amazing #RonitNir. We devised a method to measure 15000 designed promoters from a fixed site in the genome and used it to interrogate the architecture and cis-regulatory elements of human promoters #TxnJC 1/ https://t.co/2EBfgD7XTl
Congratulations Shira on another beautiful paper and amazing PhD!
Looking forward to reading about the discoveries that you'll surely make in your postdoc!
ML, functional genomics, RNA-splicing regulation or hi-throughput screens float your ⛵️? I have postdoc positions available in my shiny new lab at @nygenome / @Columbia. Lets chat at #ASHG18 or go to https://t.co/cY6qPVnhqb Please RT!
בימים אלו אנחנו מגייסים משתתפים עם טרום סוכרת למחקר חדשני במכון ויצמן בתזונה מותאמת אישית על פי מודל חישובי שפיתחנו בהתבסס על חיידקי מעיים ונתונים אישיים נוספים
פרטים נוספים:
[email protected]
https://t.co/OzjsxdCXAt
אנא הפיצו!