Yingbo Huang (@yingbohuang) 's Twitter Profile
Yingbo Huang

@yingbohuang

Postdoc at DFCI; PhD at ECP/UMN Alumni; Human genetics and Cancer Biology. Always excited to learn something new.

ID: 1194794414440435712

calendar_today14-11-2019 01:49:32

1,1K Tweet

224 Followers

723 Following

Break Through Cancer (@break_cancer) 's Twitter Profile Photo

Big news: Revolution Medicines’ daraxonrasib received FDA fast-track review for pancreatic cancer. We are proud to collaborate with Revolution Medicines on deep correlative science in a trial involving this agent in KRAS mutant pancreatic cancer. washingtonpost.com/health/2025/11…

Dawn Chen (@dawnchenx) 's Twitter Profile Photo

Announcing our new preprint! We built SPICE, a framework that combines large-scale experiments and generative AI to design RNA sequences that control cell type-specific gene expression using alternative splicing - a powerful new modality! (1/10) Preprint: biorxiv.org/content/10.110…

Xiaole Shirley Liu (@xshirleyliu) 's Twitter Profile Photo

BETA (nature.com/articles/nprot…) is a simple and reliable way of assigning transcription factor (TF) target genes and exploring TF function and collaborators from ChIP-seq. Thanks Ming "Tommy" Tang for reviving BETA to make it Python3 compatible and easy to run! divingintogeneticsandgenomics.com/post/reviving-…

Ming "Tommy" Tang (@tangming2005) 's Twitter Profile Photo

1/ You run ChIP-seq to find where your transcription factor binds. You run RNA-seq to see which genes change expression. Now, you ask a "simple" question, what are the "direct targets"?

1/ You run ChIP-seq to find where your transcription factor binds. You run RNA-seq to see which genes change expression. Now, you ask a "simple" question, what are the "direct targets"?
bioRxiv Bioinfo (@biorxiv_bioinfo) 's Twitter Profile Photo

CycleGRN: Inferring Gene Regulatory Networks from Cyclic Flow Dynamics in Single-Cell RNA-seq biorxiv.org/content/10.110… #biorxiv_bioinfo

Brian Hie (@brianhie) 's Twitter Profile Photo

Today in nature, in work led by Aditi Merchant, we report the ability to prompt Evo to generate functional de novo genes. You shall know a gene by the company it keeps! 1/n

Today in <a href="/Nature/">nature</a>, in work led by <a href="/aditimerch/">Aditi Merchant</a>, we report the ability to prompt Evo to generate functional de novo genes.

You shall know a gene by the company it keeps! 1/n
Ilir Aliu - eu/acc (@iliraliu_) 's Twitter Profile Photo

This is real time. You can see how stable the motion is. A system placing droplets between 1 nanoliter and 1 microliter inside a 96 well plate with almost perfect repeatability. No shake. No drift. No overshoot. The robot keeps the tip on track even at this scale where tiny

nature (@nature) 's Twitter Profile Photo

Nature research paper: Decay of driver mutations shapes the landscape of intestinal transformation go.nature.com/3KAdDGm

Qinheng Zheng (@qhzheng) 's Twitter Profile Photo

📢 The Zheng Lab @HarvardMed is recruiting a Postdoctoral Fellow in organic chemistry & chemical biology to develop covalent chemistry and cancer therapeutics. 🔬 Website: sites.harvard.edu/zheng/ 📧 Contact: [email protected] Apply via 👉 academicpositions.harvard.edu/postings/15510

📢 The Zheng Lab @HarvardMed is recruiting a Postdoctoral Fellow in organic chemistry &amp; chemical biology to develop covalent chemistry and cancer therapeutics.

🔬 Website: sites.harvard.edu/zheng/
📧 Contact: qinheng_zheng@hms.harvard.edu
Apply via 👉 academicpositions.harvard.edu/postings/15510
AACR (@aacr) 's Twitter Profile Photo

Register by January 19 to get the lowest rates for the AACR Conference on RAS Oncogenesis and Therapeutics (March 5-8, 2026; Los Angeles), chaired by Andrew J. Aguirre, Channing J. Der, David S. Hong, and Kevan M. Shokat. brnw.ch/21wYfix #AACRras26

Register by January 19 to get the lowest rates for the AACR Conference on RAS Oncogenesis and Therapeutics (March 5-8, 2026; Los Angeles), chaired by Andrew J. Aguirre, Channing J. Der, David S. Hong, and Kevan M. Shokat.
brnw.ch/21wYfix
#AACRras26
Jonathan Pritchard (@jkpritch) 's Twitter Profile Photo

Modern GWAS can identify 1000s of significant hits but it can be hard to turn this into biological insight. I'm excited to share our new work combining genetic associations and Perturb-seq to build interpretable causal graphs, out today in nature:

Modern GWAS can identify 1000s of significant hits but it can be hard to turn this into biological insight.  

I'm excited to share our new work combining genetic associations and Perturb-seq to build interpretable causal graphs, out today in <a href="/Nature/">nature</a>:
Jorge Bravo (@bravo_abad) 's Twitter Profile Photo

AI-powered platform that screens 9,045 drug combinations with 90% fewer experiments Discovering effective drug combinations is a classic combinatorial nightmare. Every time you add a new compound, the number of possible pairs explodes, and properly mapping each pair across doses

AI-powered platform that screens 9,045 drug combinations with 90% fewer experiments

Discovering effective drug combinations is a classic combinatorial nightmare. Every time you add a new compound, the number of possible pairs explodes, and properly mapping each pair across doses