Congratulations to @nataliya_pro_ for this work describing the steps involved in a generating a cytotoxic T cell response against cancer, and how this is different from what we had assumed based on viral models. This new model raises a number of new questions. Thoughts and🧵below
Hi all. We're happy to share our latest paper, just published in @CellReports. We developed a scRNA-seq pathway analysis package and applied it to look at T cell activation in vitro and in tissue. Here's the paper: https://t.co/7NIzcW2C2F.
stumbled across this new "genomics for engineers" resource - written "by computer scientists for computer scientists."
i found the plain-English overviews of genomics file formats (FASTQ, BAM, VCF) + tooling (BLAST, BLAT, BWA, STAR, etc.) super helpful.
https://t.co/49oiB62r48
As a group working on #scRNA-seq and #snRNA-seq analysis, we’ve noticed that certain popular and publicly-available datasets, e.g. the PBMC datasets from 10x Genomics, are used repeatedly for tutorials, method development, etc. and often reprocessed. 1/🧵
(1) Finally out, after one of the most painful and long reviews (with nitpicky reviews, see my last comment) is a method that I am extremely proud of and excited about. One of the best in my career: https://t.co/H31ZezbA1J
Chi’s story can’t be completed without the videos. How to capture and study these escaping cells? Also check out a report @nytimes@NYTHealth https://t.co/i9RfYE7dgL
I am late to the party (was on holidays), but have now read @lpachter's "Specious Art" paper as well as ~300 quote tweets/threads, played with the code, and can add my two cents.
Spoiler: I disagree with their conclusions. Some claims re t-SNE/UMAP are misleading. Thread. 🐘