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18Q3 Cancer Dependency data now live! #CRISPR knockout screening data for 485 #cancer cell lines (rep'ing 15 tumor types), plus accompanying gene expression, copy number and mutation profiles: depmap.org

Identification of WRN as a novel synthetic lethal target in MSI cancers! Congratulations to our team Ed Chan, Tsukasa Shibue, Francisca Vazquez, Adam Bass The Cancer Dependency Map @BassLab_DFCI disq.us/t/39rxsuo

Proud to announce that the capstone project of my thesis work in Kadoch Lab, is avail. online today in @nature_genetics: nature.com/articles/s4158… 1/n

I'll never forget the great words of one of my best math professors: "If all I wanted was the answer, I sure as hell wouldn't ask you."

#HeroesOfCrispr has been trending for 4 hours now. When this gets made into a movie, they will prob cast JLaw for JDoudna #CRISPR #science

So from the CRISPR microinjection we managed to get a mouse with the KO we need. Then we set up a mating, and the female bites his junk off.

Advice from Daniel MacArthur to his team following yesterday's Ioannidis lecture on reproducibility

Two papers in Cancer Discovery today, both showing false-positive effects of CRISPR guides in amplified regions of tumor cells. Uh oh.

turns out CRISPR is not a panacea for loss-of-function screening in cancer cell lines (systematic bias due to CNAs) cancerdiscovery.aacrjournals.org/content/early/…

Genome-wide #CRISPR screens of cancer cells affected by bias across CNAs. Our paper is out! Aviad Tsherniak Broad Institute ncbi.nlm.nih.gov/pubmed/27260156

Broad shares 33 genome-scale #CRISPR KO screens in #cancer cell lines; shows DNA copy number key for interpretation cancerdiscovery.aacrjournals.org/cgi/content/lo…

The largest dataset of cancer genetic dependencies: More than 970 RNAi screens in 713 cell lines from Broad Institute Achilles, Novartis DRIVE and Marcotte et al., 2016 processed together by the new DEMETER2 method. biorxiv.org/content/early/… The Cancer Dependency Map bioRxiv

A literal Manhattan plot reddit.com/r/dataisbeauti…

In this paper, robin and I take a look at how patterns of co-dependency in cancer cell lines teach us about protein complex biology. Credit to a fantastic team Aviad Tsherniak, Ann Sizemore Blevins, Jonathan Wells, Joe Marsh, Cigall Kadoch. Fitness data all from The Cancer Dependency Map Cancer Data Science x.com/kadochlab/stat…

On the cover of Cell Systems: inspired by the classic album cover of Joy Division's Unknown Pleasures using fitness responses of 342 cancer cell lines to gene knockouts. Check out this excellent work by Joshua Pan and robin cell.com/cell-systems/f…

Selected for the cover of this month's Cell Systems issue is a design that Joshua Pan and I put together using #Rstats and @ClausWilke's ggridges package. cell.com/cell-systems/i…

The team behind The Cancer Dependency Map has worked hard to ensure quarterly public releases of newly generated data. This acknowledgement in @TraverHart lab's excellent preprint biorxiv.org/content/early/… is one example indicating a big payoff to #openscience. cc: Cancer Data Science Jesse Boehm