News & Media
News
Burroughs Wellcome Fund recognition
Dr. Vahedi is one of nine Burroughs Wellcome Fund investigators in the Pathogenesis of Infectious Disease. Thanks a lot for supporting our lab!
2020
Human Islet Research Network award
The Vahedi lab is now a member of the Human Islet Research Network
2020
Chan Zuckerberg Initiative Award
Our laboratory's proposal was chosen for Chan Zuckerberg Initiative Award
2020
Manuscript on Spotlight in Trends in Immunology
Fasolino and Goldman et al manuscript in Immunity received a Spotlight in Trends In Immunology by Dr. Amy Weinmann
2020
Media
Press Releases
Vahedi lab joins the second phase of 4DN consortium!
Penn Medicine Researchers Receive Two Major NIH Grants for Studies of Genome Folding in Health and Disease
Read MorePenn Medicine researcher receives early career honor from Burroughs Wellcome Fund
Penn Medicine researcher receives early career honor from Burroughs Wellcome Fund
Read MorePenn Researchers Receive $1.05 Million Grant from Chan Zuckerberg Initiative
Penn Researchers Receive $1.05 Million Grant from Chan Zuckerberg Initiative
Read MoreDNA Misfolding in White Blood Cells Increases Risk For Type 1 Diabetes
New Penn Medicine study shows, in mice, that changes in DNA sequence may cause chromosomes to misfold in a way that elevates the risk for autoimmune diseases.
Read More“Icebreaker” Protein Opens Genome for T cell Development, Penn Researchers Find
Researchers describe the role of a transcription factor called TCF-1 in targeting the condensed chromatin and regulating the availability of genome sequences in T-cell development.
Read More“Back in Time”: Penn Researchers Unravel the Early Makings of an Exhausted T Cell
Penn Researchers Unravel the Early Makings of an Exhausted T Cell
Read MoreNIH researchers reveal link between powerful gene regulatory elements and autoimmune diseases
Super-enhancers and autoimmune diseases
Read MoreMedia Coverage
Stripenn can be applied to any type of chromatin conformation capture data such as Hi-C, HiChIP, and Micro-C. The comparison of Stripenn with previously developed stripe callers revealed that relying on edge detection algorithms is highly beneficial.
The backbone of our novel method relies on Canny edge detection, one of the most popular edge detection algorithms in the mature field of computer vision.
#tbt to some of our virtual seminars from the 2020-2021 season! Big thanks to @JosefowiczLab, Natali Sobel Naveh from the Kalish lab, @timp0, and @ysora90 from @vahedilab for great talks!
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