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Brian J. Abraham

@TheAbraLab

Computational Biologist studying how genes are controlled in healthy and diseased cells
@StJudeResearch stjude.org/research/labs/… Joined June 2014
0 Following 153 Followers 45 Posts

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Brian J. Abraham @TheAbraLab
I don't know that I've seen a project that ended so far and so much more important than the OG plan. From feelings that something is weird about CDK13 to battling the lack of reagents to separate it from CDK12 to tying stumbling polymerases to cancers. Big work; long time coming.
Insco Lab @InscoLab Apr 21, 2023
@leonard_zon @youngricka @AdelmanLab @NCIChanock @kbrowngenetics @TheAbraLab @dliu_ccb @bmart87 Normally, cells make gene expression mistakes, but luckily CDK13 triggers clean-up of “junk” RNAs from protein coding genes. We found that when CDK13 is mutated, these “junk” RNAs accumulate, driving more aggressive melanoma. Turns out, it is important to shred the trash!
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Brian J. Abraham @TheAbraLab
Our massive undertaking in finding vulnerabilities of pediatric cancers requires massive #bioinformatics talent. I'm excited to be a part of the team and am looking for scientists to join the effort. Posting forthcoming, but feel free to email your CV.
St. Jude Research Verified account @StJudeResearch Oct 13, 2022
@broadinstitute @DanaFarberNews "Through #PedDep, we believe we can leapfrog barriers to rapidly identify therapeutic vulnerabilities in childhood cancer and translate those into targeted therapies in the clinic faster," says project co-lead Dr. Charles Roberts, St. Jude Comprehensive Cancer Center director.
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Brian J. Abraham @TheAbraLab
Analyzing sequencing data can be hard, especially if you don't have a seasoned analyst or heavy-duty hardware. So @Modupeore_A built a portable, modular, automated, cloud (and more) pipeline to do the most common ChIP-Seq/CUT&RUN-Seq analyses for about $20 per sample.
St. Jude Research Verified account @StJudeResearch Feb 23, 2022
St. Jude coders built a portable, one-click platform called SEAseq to streamline analysis of chromatin pulldown sequencing data (ChIP-Seq and CUT&RUN-Seq). Read the @BMC_series Bioinformatics Paper to learn how. ow.ly/TcCM50I2pKI @TheAbraLab
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