Sayeh Gorjifard, MS, PhD (@lampoona) 's Twitter Profile
Sayeh Gorjifard, MS, PhD

@lampoona

A down-to-mars girl. PhD Genome Sciences @uwgenome | MS Drug Development @JohnsHopkins | Chemistry + Art @dartmouth

ID: 1046749530

linkhttp://www.sayehgorjifard.com calendar_today30-12-2012 04:02:16

917 Tweet

238 Followers

1,1K Following

Josh Cuperus (@rnanerd) 's Twitter Profile Photo

Thrilled to present our collaboration w/ Stergachis Lab members “The regulatory potential of transposable elements in maize”. Single-molecule Fiber-seq - accurate and sensitive accessibility in maize. New open chromatin regions in LTRs and much more! biorxiv.org/cgi/content/sh…

Jay Shendure (@jshendure) 's Twitter Profile Photo

Our latest, from the brilliant Will Chen and Junhong Choi, out in nature , is ENGRAM, a multiplex method for symbolic recording of signaling and cis regulatory activity to DNA. Final version (not in preprint) includes integration w/ DNA Typewriter. rdcu.be/dN62L

Sayeh Gorjifard, MS, PhD (@lampoona) 's Twitter Profile Photo

Good news/bad news paper of the day. A fungi that degrades plastic waste😃...into CO2 🥲sciencedirect.com/science/articl…

Lior Pachter (@lpachter) 's Twitter Profile Photo

This recently published figure by Sarah Ancheta et al. is very disturbing and should lead to some deep introspection in the single-cell genomics community (I doubt it will). It demonstrates complete disagreement among 5 widely used "RNA velocity" methods 1/

This recently published figure by <a href="/Sarah_E_Ancheta/">Sarah Ancheta</a> et al. is very disturbing and should lead to some deep introspection in the single-cell genomics community (I doubt it will).

It demonstrates complete disagreement among 5 widely used "RNA velocity" methods 1/
Sanjay Srivatsan (@srsrivatsan) 's Twitter Profile Photo

Today out in bioRxiv we present SCOPE. An optics-free, self-registering array of DNA encoded beads for spatial genomics. This was work led by the intrepid duo of Hanna Liao and Sanjay Kottapalli, with Jay Shendure's lab. biorxiv.org/content/10.110…

Sayeh Gorjifard, MS, PhD (@lampoona) 's Twitter Profile Photo

Somehow 4 optics free spatial imaging papers hit BiorXiv today. It's like watching the olympics of paper submission. May the fastest editor win!

Alessandra Magistrato (@magistrato_lab) 's Twitter Profile Photo

Happy to share our paper 'Predicting Conformational Ensembles of Intrinsically Disordered Proteins: From Molecular Dynamics to Machine Learning' just published in @jphyschem Letters. Excellent work by J Aupic, Pavlína Pokorná Sharon Ruthstein read here: pubs.acs.org/doi/10.1021/ac…

Niko McCarty 🧫 (@nikomccarty) 's Twitter Profile Photo

10,000 wine yeast strains were evolved in the lab, with scientists selecting for variants that could tolerate high alcohol levels or produce lots of aroma—while dividing quickly. Biotech-inspired wine and beer is an underrated market. Now is probably a good time to work on it.

10,000 wine yeast strains were evolved in the lab, with scientists selecting for variants that could tolerate high alcohol levels or produce lots of aroma—while dividing quickly.

Biotech-inspired wine and beer is an underrated market. Now is probably a good time to work on it.
Simon Duerr (@simonduerr) 's Twitter Profile Photo

There is a new tool on BioIcons to turn any protein (in PDB format) into a 2D vector illustration in SVG format. You can upload any PDB file or import from PDB, AlphaFoldDB or ESMFoldDB. Feedback welcome :) bioicons.com/pdb2vector/

There is a new tool on BioIcons to turn any protein (in PDB format) into a 2D vector illustration in SVG format. You can upload any  PDB file or import from PDB, AlphaFoldDB or ESMFoldDB. Feedback welcome :)
bioicons.com/pdb2vector/
Sayeh Gorjifard, MS, PhD (@lampoona) 's Twitter Profile Photo

Dear Google Maps, please add a feature that maximizes a walking path for tree density, aka shade, and not time or distance. This would be great for anyone in a new city!

amanda (@jailedamanda) 's Twitter Profile Photo

parents please check your kids' halloween candy. just found hieronymus bosch’s garden of earthly delights inside of a peanut butter cup.

parents please check your kids' halloween candy. just found hieronymus bosch’s garden of earthly delights inside of a peanut butter cup.
Rafeeque Mavoor (@rafeequemavoor) 's Twitter Profile Photo

Free scientific illustrations for biologists! 😍 NIH has released a library of 500+ free scientific illustrations to create figures, presentations, and illustrations! all freely available in the public domain. Retweet and spread the message! bioart.niaid.nih.gov

Free scientific illustrations for biologists! 😍

<a href="/NIH/">NIH</a> has released a library of 500+ free scientific illustrations  to create figures, presentations, and illustrations!   

all freely available in the public domain. 

Retweet and spread the message!
bioart.niaid.nih.gov
Kamil Górecki (@kamgorecki) 's Twitter Profile Photo

You may ask: “why study ancient enzymes? Who cares what life looked like 3 billion years ago?” Because evolution may hold answers to problems we still struggle with, and it can guide our efforts. New paper from our lab! 🧵

You may ask: “why study ancient enzymes? Who cares what life looked like 3 billion years ago?”

Because evolution may hold answers to problems we still struggle with, and it can guide our efforts.

New paper from our lab! 🧵
Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

Want to make a plea to science journalists as well to be EXTREMELY skeptical of big claims from AI4bio models. Present balanced view points & wait for the "dust to settle" before over amplifying premature hype. Billions of parameters & data points alone will not solve biology.

Kyle Tretina, Ph.D. (@allthingsapx) 's Twitter Profile Photo

The paper clarifies that most so‑called “inverse‑folding” models (ProteinMPNN, ESM‑IF) actually perform structure‑based sequence design and do not guarantee the target fold is the unique low‑energy state, leaving the true inverse‑folding problem wide open

The paper clarifies that most so‑called “inverse‑folding” models (ProteinMPNN, ESM‑IF) actually perform structure‑based sequence design and do not guarantee the target fold is the unique low‑energy state, leaving the true inverse‑folding problem wide open