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

4D Nucleome Consortium award

The Vahedi lab is now a member of the 4D Nucleome Consortium

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 More

Penn Medicine researcher receives early career honor from Burroughs Wellcome Fund

Penn Medicine researcher receives early career honor from Burroughs Wellcome Fund

Read More

Penn Researchers Receive $1.05 Million Grant from Chan Zuckerberg Initiative

Penn Researchers Receive $1.05 Million Grant from Chan Zuckerberg Initiative

Read More

DNA 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 More

Three Penn Researchers Awarded Sloan Fellowships

Sloan Fellowships to Dr. Vahedi

Read More

NIH researchers reveal link between powerful gene regulatory elements and autoimmune diseases

Super-enhancers and autoimmune diseases

Read More

Media 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.

I am very excited to share @vahedilab's latest preprint describing Stripenn to detect architectural stripes from chromatin conformation data using computer vision developed by talented @ysora90 https://tinyurl.com/yg6yp6xm

#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!

2
Load More...