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DTSTAMP:20250905T105802
DTSTART;TZID=America/Detroit:20250910T160000
DTEND;TZID=America/Detroit:20250910T170000
SUMMARY:Workshop / Seminar:CCMB/DCMB Weekly Seminar Series featuring Winston Timp\, PhD (Prof. at Johns Hopkins)
DESCRIPTION:Abstract\n\nSingle molecule sequencing has evolved from a niche technology into a robust\, accessible platform for decoding the complexities of genome regulation and cellular identity. In this talk\, we'll explore how recent improvements in accuracy\, throughput\, and targeted enrichment now allow us to phase variants\, resolve repetitive loci\, and detect epigenetic modifications—often in the same molecule. These methods enable analysis of allele-specific methylation\, chromatin accessibility\, and protein-DNA interactions\, even in challenging regions like centromeres or BRCA1. We'll also cover how these techniques apply to spatial and single-cell transcriptomics\, empowering nuanced studies in neuroscience and cancer. Altogether\, this work moves us closer to a future where multiomic profiling at single-molecule resolution becomes routine—at the bench\, not just the core.\n\nShort Bio\n\nWinston Timp\, an associate professor of biomedical engineering\, focuses on the development and application of sequencing technologies to gain a deeper understanding of biology and a more accurate set of clinical tools for human disease. He holds joint appointments in the Department of Molecular Biology and Genetics and the Division of Infectious Diseases at the Johns Hopkins University School of Medicine.\n\nTimp’s research integrates the principles of biophysics\, molecular biology and computational biology to create new tools for exploring the epigenomes and genomes of different lifeforms ranging in size from the flu virus to hummingbirds to California redwoods. Based on the knowledge gained from these studies\, Timp and his team apply their toolsets to clinical samples for the diagnosis\, surveillance\, and treatment of human disease.
UID:138857-21884142@events.umich.edu
URL:https://events.umich.edu/event/138857
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Virtual,Research,Life Science,Free,Biosciences,Bioinformatics,Basic Science
LOCATION:Palmer Commons - Great Lakes North
CONTACT:
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DTSTAMP:20250822T154951
DTSTART;TZID=America/Detroit:20250910T160000
DTEND;TZID=America/Detroit:20250910T170000
SUMMARY:Workshop / Seminar:Computing the adapted Wasserstein distance between the laws of stochastic processes
DESCRIPTION:Recently\, the adapted Wasserstein (AW) distance has emerged as an attractive alternative to the usual distances between laws of stochastic processes due to its application to dynamic optimisation problems\, such as optimal stopping\, for example. However\, similar to classical Wasserstein distance\, the exact value of the AW distance is difficult to determine in general. In this talk\, we discuss two methods — a transfer principle\, and a discretisation approach — to compute\, either explicitly or numerically\, the AW distance between the laws of certain stochastic processes\, such as mean-square continuous Gaussian processes and stochastic differential equations.
UID:138021-21881209@events.umich.edu
URL:https://events.umich.edu/event/138021
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 4448
CONTACT:
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