Dandan Peng (@dandan_peng) 's Twitter Profile
Dandan Peng

@dandan_peng

Ph.D. student@ Edge Lab | USC, Computational Biology and Bioinformatics

ID: 449741339

calendar_today29-12-2011 12:54:21

8 Tweet

44 Followers

67 Following

Doc Edge (@docedge85) 's Twitter Profile Photo

I'm looking to hire a postdoc to work on questions related to genetic privacy, forensic genetics, and complex traits from a population-genetic perspective. Please RT and write to me if interested. jobrxiv.org/job/university…

Diego Ortega-Del Vecchyo (@dortega_delv) 's Twitter Profile Photo

The virtual symposium "Using Ancestral Recombination Graphs (ARGs) to Infer Evolutionary Processes" will take place on Friday September 30. You can find the program here: virtual.oxfordabstracts.com/#/event/3132/p…"

Vivian Link (@vivianlink) 's Twitter Profile Photo

Excited to share my newest preprint with Doc Edge, as well as collaborators Joshua G. Schraiber🌹, Caoqi Fan, Bryan Dinh, Nicholas Mancuso, and Charleston Chiang. In it, we proposed testing tree-based summaries of local relatedness to find QTLs (thread). biorxiv.org/content/10.110…

Doc Edge (@docedge85) 's Twitter Profile Photo

Two new preprints from my group today---this one was led by Dandan Peng with an assist from Obadiah Mulder. Dandan benchmarked a bunch of leading ARG-estimation methods with respect to a specific goal (1/n)

Doc Edge (@docedge85) 's Twitter Profile Photo

Second preprint from my group today---this one is led by Feriel Ouerghi . In this one, we discuss a previously proposed method for building forensic likelihood ratios from sequencing reads (1/n)

Árni Freyr Gunnarsson (@afgunnarsson) 's Twitter Profile Photo

Very excited to share this preprint on fast inference of ancestral recombination graphs. Our algorithm, Threads, scales to large sample sizes and we show how our methods can be used to improve data compression, association studies, and genotype imputation.

Joshua G. Schraiber🌹 (@jgschraiber) 's Twitter Profile Photo

Excited to share this new preprint with jeffrey spence and Doc Edge in which we developed a method to infer demographic history and mutation rates from millions of genomes, and applied it to gnomAD v4 data. Read on for a brief thread! biorxiv.org/content/10.110…