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In this study, we've generated summary statistics of >300 billion associations. This scale of study was only made possible through collaboration between VA Research and Dept. of Energy , utilizing supercomputing resources at Oak Ridge Lab

Way to go Pradeep Natarajan

We are one of the three!

Thank you to the whole team for the wonderful collaboration! Javier Gómez Ortega, Siddharth Mahesh, Tarak Nandi, Ravi Madduri, and Karin Pelka 🦋 @pelkalab.bsky.social! x.com/TheodorisLab/s…

Very much enjoyed updating the CZI Science community on work led by Yash Pershad & Alyssa Parker with Ravi Madduri @LabObeng Anupriya Agarwal Lab RUNX1 Research Program to move from single cell sequencing to RUNX1 therapies at the annual CZI Cell Science meeting!

eppro02.ativ.me/appinfo.php?pa… #ASHG24 Please come and hear about our work on scPrediXcan: leveraging single-cell data for transcriptome-wide association studies at cell-type level through transfer learning with Hae Kyung Im 任慧耕 임혜경 in Machine Learning and AI Applications in Human Genetics session.

Our group has contributed to three platform talks and four posters at #ASHG24 this year applying #HPC and #AI to Human Genetics! I am proud of all we were able to accomplish this year. cc Anurag Verma Hae Kyung Im 任慧耕 임혜경

If you are at #ASHG24, we have several more presentation today 1. Platform talk on "Genome-Wide Assessment of Pleiotropy Across >1000 Traits Among 1.5 Million Participants of Diverse Biobanks" by Michael Levin at 10:30AM FourSeason BR 2&3 Satoshi Koyama Scott Damrauer Pradeep Natarajan Ravi Madduri

check out our new preprint led by Yichao (Charles) Zhou and supervised by Mengjie Chen and me doi.org/10.1101/2024.1… where we present scPrediXcan which integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework

Our paper on "Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves prediction across ancestry groups" with @johnwitte and other collaborators has been accepted for publication in Nature Genetics !

How decoding the genome can help cure disease Don’t miss today’s entry in the AI & Science Schmidt Fellows Speaker Series! Featuring Hae Kyung Im (Hae Kyung Im 任慧耕 임혜경), Associate Professor of Medicine and Human Genetics at The University of Chicago! datascience.uchicago.edu/events/hae-kyu…

The Million Veteran Program is the Veterans Affairs' gift that keeps on giving...critical clues to the etiology and treatment of coronary disease, the #1 cause of death worldwide. Thank you U.S. Veterans and program leadership for making this possible. Let's keep it going!

Great talk by Zilinghan at #AMIA on our joint work with Anurag Verma at UPenn on using LLMs in the context of rare disease research

Very excited to share our preprint led by Michael Levin Satoshi Koyama Jakob Woerner & with Scott Damrauer assessing genome-wide pleiotropy of >1,000 clinical traits across ~1.7M individuals with nearly 30K locus-trait associations! medrxiv.org/content/10.110… medRxiv [1/3]

Interact with all of the results in the Pleiotropy Atlas (PLATLAS)! platlas.cels.anl.gov [2/3]

Honored to be selected as a 2025 Vanderbilt University Chancellor Faculty Fellow! news.vanderbilt.edu/2025/05/01/11-…

🧪 Now published in Bioinformatics Advances: “Benchmarking accelerated next generation sequence (NGS) analysis pipelines”   Read the full paper here: doi.org/10.1093/bioadv… Authors include: Ravi Madduri, Alexander Rowe