Cancer genomics by day, drug discovery by night. Let’s integrate those datasets and solve cancer. he/him
Montréal, Québec
Joined May 2011
- Tweets242
- Following4.2K
- Followers467
- Likes1.6K
Robinthebear retweeted
Sometimes the microbe grows, sometimes the microbe sleeps. Why do you expect microbe to grow every time?Does microbe expect you to wake up at 6am every day? No! That's now how this works, buddy. The microbe can do what it wants, your OD readings be damned.
Robinthebear retweeted
Good news! We decided to start our own cryptocurrency. We will now pay all faculty salaries in our university currency, redeemable at the food court, bodega, and book store! Just wait until ucoin catches on!
Robinthebear retweeted
Excited to share XYZeq, a single-cell RNA-seq workflow that also resolves the spatial location of each cell: advances.sciencemag.org/cont…. XYZeq was jointly developed with @MarsonLab, Eric Chow and lead by an incredible team of trainees (Youjin Lee, Derek Bogdanoff, Yutong Wang).(1/n)
Robinthebear retweeted
If you want to make six figures overnight have you ever tried being a grad student???
Robinthebear retweeted
🎉🎉User friendly tools are the future of #singlecell analysis.
GranatumX🍇can:
-gets you reproducible results, no coding.
-promote #bioinformatics tools with simple plug-in.
Cloud server: garmiregroup.org/granatumx/a…
Youtube: youtu.be/wi3DhDbXJYo.
DOI: doi.org/10.1101/385591
Robinthebear retweeted
Interested in single cell genomics but need help getting started? Check out the full agenda for our Single Cell Genomics Day next Friday (3/26). All talks will be live-streamed (no registration required) at satijalab.org/scgd21/
Robinthebear retweeted
I can't believe I'm saying this this year, but I think this might be bigger than RNA vaccines.
DeepMind can effectively predict protein structure with the fidelity of crystallography.
sciencemag.org/news/2020/11/…
Robinthebear retweeted
updated book draft "computational #genomics with R"
compgenomr.github.io/book/.
Includes #Rstats ,#Chipseq, #MachineLearning, #Statistics, #multiomics, #BSseq and #rnaseq chapters.
Robinthebear retweeted
Extremely excited today to reveal the first of two great works (magnus opera?), just posted on bioarxiv, applying regulatory network analysis techniques to PDAC expression data to dissect the underlying biology of the disease. Tweetorial time! 1/ biorxiv.org/content/10.1101/…
Robinthebear retweeted
OUT NOW!
I am absolutely delighted to share our "Single-Cell Tumor Immune Atlas for Precision Oncology".
We present a #singlecell immune atlas: >500k cells, 217 patients,13 cancer types for 1) Patient stratification 2) Annotation 3) Spatial mapping.
biorxiv.org/content/10.1101/…
Robinthebear retweeted
📣 Recordings of all keynote, regular, and lightning talks from R/Medicine 2020 are up on YouTube! 📣 youtube.com/playlist?list=PL… #rstats #rmedicine #rmed2020
Robinthebear retweeted
mRNA is roughly 10x heavier and 10x larger than the protein it encodes for. Amazing.
From the mind-blowing book Cell Biology by the Numbers from @MiloLabWIS and Rob Philips
book.bionumbers.org/which-is…
Robinthebear retweeted
Want to map #scRNA-seq data on a reference atlas without sharing raw data? Plz check out single-cell architectural surgery (scArches) - led by @MohammadLotfol1, we use transfer learning for efficient query to reference integration. biorxiv.org/content/10.1101/… github.com/theislab/scarches
Robinthebear retweeted
I've written a short review on opportunities & practical considerations of implementing active machine learning in drug discovery. Part of a compendium edited by Johannes Kirchmair w 20 powerful reviews covering distinct flavors of AI in Drug Discovery sciencedirect.com/science/ar…
Robinthebear retweeted
Gene expression changes revealed by single-cell RNA-seq are often not limited to mean levels. scHOT detects changes in higher order interactions in single cell gene expression data. @shazanfar @linyingxin @TheEllisPatrick @marionilab @jeanyang21 nature.com/articles/s41592-0…
