M
Miklos Z. Racz
Researcher at Princeton University
Publications - 69
Citations - 1384
Miklos Z. Racz is an academic researcher from Princeton University. The author has contributed to research in topics: Random graph & Computer science. The author has an hindex of 17, co-authored 63 publications receiving 986 citations. Previous affiliations of Miklos Z. Racz include Microsoft & University of California, Berkeley.
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Journal ArticleDOI
Random access in large-scale DNA data storage
Lee Organick,Siena Dumas Ang,Yuan-Jyue Chen,Randolph Lopez,Sergey Yekhanin,Konstantin Makarychev,Konstantin Makarychev,Miklos Z. Racz,Miklos Z. Racz,Govinda M. Kamath,Govinda M. Kamath,Parikshit Gopalan,Parikshit Gopalan,Bichlien H. Nguyen,Christopher N. Takahashi,Sharon Newman,Sharon Newman,Hsing Yeh Parker,Cyrus Rashtchian,Kendall Stewart,Gagan Gupta,Robert Carlson,John Mulligan,Douglas Carmean,Georg Seelig,Luis Ceze,Karin Strauss +26 more
TL;DR: A large library of primers are designed and validated that enable individual recovery of all files stored within the DNA, and an algorithm is developed that greatly reduces the sequencing read coverage required for error-free decoding by maximizing information from all sequence reads.
Journal ArticleDOI
Testing for high‐dimensional geometry in random graphs
TL;DR: In this article, the authors studied the problem of detecting the presence of an underlying high-dimensional geometric structure in a random graph, where each vertex corresponds to a latent independent random vector uniformly distributed on the sphere Sd−1 and two vertices are connected if the corresponding latent vectors are close enough.
Journal ArticleDOI
DNA assembly for nanopore data storage readout.
Randolph Lopez,Yuan-Jyue Chen,Siena Dumas Ang,Sergey Yekhanin,Konstantin Makarychev,Miklos Z. Racz,Georg Seelig,Karin Strauss,Luis Ceze +8 more
TL;DR: It is demonstrated successful decoding of 1.67 megabytes of information stored in short fragments of synthetic DNA using a portable nanopore sequencing platform with an assembly strategy for increased throughput.
Proceedings ArticleDOI
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
TL;DR: An analysis of traffic to websites known for publishing fake news in the months preceding the 2016 US presidential election finds that social media was the primary outlet for the circulation of fake news stories and aggregate voting patterns were strongly correlated with the average daily fraction of users visiting websites serving fake news.
Proceedings Article
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian,Cyrus Rashtchian,Konstantin Makarychev,Miklos Z. Racz,Miklos Z. Racz,Siena Dumas Ang,Djordje Jevdjic,Sergey Yekhanin,Luis Ceze,Luis Ceze,Karin Strauss +10 more
TL;DR: This work presents a novel distributed algorithm for approximately computing the underlying clusters of DNA sequences that achieves higher accuracy and a 1000x speedup on three real datasets.