Tim Sterne-Weiler

Senior Principal Scientist @Genentech in Computational Biology/Discovery Oncology.

[Tim Sterne-Weiler @timbitsz]

Accurate long-read transcript discovery and quantification at single-cell, pseudo-bulk and bulk resolution with Isosceles, is now published @NatureComms !

https://t.co/DHKgcFJ3iz

[Tim Sterne-Weiler @timbitsz]

Excited to share this opportunity @genentech! @nc_frey and I are looking to hire a talented postdoctoral fellow to explore cancer genomics with modern AI architectures. Please share if you know anyone who would be a good fit!

[Nathan C. Frey @nc_frey]

We're hiring! Come work with me, @timbitsz, and the fantastic teams @genentech Comp Bio / Disco Onc & @PrescientDesign as a postdoc.

Link to apply below 👇

[Tim Sterne-Weiler @timbitsz]

Excited to release Isosceles, a method for accurate long-read transcript discovery and quantification at bulk and single-cell resolutions. Preprint: https://t.co/A6EcdiUMdM

[Tim Sterne-Weiler @timbitsz]

@Harpur Sure

[Eduardo Eyras @EduEyras]

Ribosome profiling at isoform level reveals an evolutionary conserved impact of differential splicing on the proteome https://t.co/l626Q95HzM

[Tim Sterne-Weiler @timbitsz]

@CarlosAlfonsoGl Thanks for the kind words-- I'm glad you like it!

[Manuel Irimia @mirimiam]

How did neural microexons evolve? The origin of a new protein domain in an ancestral splicing factor in bilaterian ancestors seems to have been the key. Check our new MS in @NatEcolEvol: https://t.co/RX7ujXJGpT @CRGenomica @icreacommunity #eMIC. Summary below: 1/10

[Rasim Barutcu @rassobar]

Would you like to do some splicing analysis in ~15-20 mins? "Efficient and Accurate Quantitative Profiling of Alternative Splicing Patterns of Any Complexity on a Laptop" - Amazing work by @_timbitz Blencowe Lab @DonnellyCentre @MolecularCell https://t.co/GJiMxyrAgM

[Viral B. Shah @Viral_B_Shah]

#JuliaLang 1.0 released Aug 8, 2018 after 9 years in development. This photo is from the tagging moment. From left to right we have: Alan Edelman, @Viral_B_Shah, @JeffBezanson, @StefanKarpinski, and Alex Arslan. Not in the photo are 350 #JuliaCon2018 attendees.

[Georg Seelig @seeliglab]

Our latest preprint: a neural net that predicts how genetic variation impacts translation. Fantastic work by @paul_sample_ Ban Wang, David Morris and collaborators at @moderna_tx
https://t.co/g1e42s82W3

[bioRxiv @biorxivpreprint]

mRNA structure dynamics identifies the embryonic RNA regulome https://t.co/UjCI38ThbT #bioRxiv

[Nature Biotechnology @NatureBiotech]

A DNA #nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo https://t.co/PKa5ud1IOk

[Junjie Guo 郭俊傑 @guo_lab]

New study from the Bartel lab in @MolecularCell on why RNAi does not work in the fish and how Nature solved the problem: A Seed Mismatch Enhances Argonaute2-Catalyzed Cleavage and Partially Rescues Severely Impaired Cleavage Found in Fish https://t.co/GwxfbTwidW

[Carlos D. Bustamante 🇻🇪🇺🇸 @cdbustamante]

Hartl's Rules: 1. Write at 11th grade level
2. One paper one idea
3. Work on what you can publish
4. Publish what you work on @JeffTownsend

[Daniel Fürth @furthlab]

Viral delivery without viruses. Synthetic capsids from scratch. Game changing bottom-up approach. https://t.co/nSI6xObW5I

[Kyle Cranmer @KyleCranmer]

Some thoughtful pushback on AlphaZero.
https://t.co/dn1QrSnUXr

[Ron Wyden @RonWyden]

Slow speeds, high costs, the end of internet startups – THIS is the future of the internet if @AjitPaiFCC repeals #NetNeutrality. #RIPinternet
https://t.co/Oqj6jls3ku

[Hagen Tilgner / @[email protected] @hagentilgner]

Our linked read isoform sequencing approach is out:
https://t.co/NEwUWYEVzZ
Lots of coordination of distant splicing events (defined by separate chemical reactions) - you can only see this with long-reads.
#CornellRNAbiology2017 @10xgenomics #transcriptomics #genomics

[Ewan Birney @ewanbirney]

Welcome to the future - DNA sequencing on your mobile phone - imagine where and how you can use it. Hats off to the @nanopore team for getting this to work at this form factor, voltage and watts. https://t.co/Tm6A5fj8M4

[Igor Ulitsky @IgorUlitsky]

The Output of Protein-Coding Genes Shifts to Circular RNAs When the Pre-mRNA Processing Machinery Is Limiting https://t.co/32B7Jskmea