Author

Joseph G. Arthur

Stanford UniversityORCID 0000-0002-4875-0367Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 4 Assay:whole-genome sequencing· 4 Research Focus:variant calling· 3 Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Research Focus:eQTL / molecular QTL mapping· 1 Approach:experimental assay· 1

Frequent Co-Authors

Alexander Eckehart UrbaniD· 4 shared Bo ZhouiD· 4 shared Reenal PattniiD· 4 shared Wing Hung WongiD· 4 shared Giltae SongiD· 3 shared Hanlee P. JiiD· 3 shared Steve S. HoiD· 3 shared Yi‐Ling HuangiD· 3 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Alexander Eckehart UrbanORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Automatic detection of complex structural genome variation across world populations

Bo Zhou, Joseph G. Arthur, Hanmin Guo, Chris Hughes, Taeyoung Kim, Yi‐Ling Huang, Reenal Pattni, HoJoon Lee, Hanlee P. Ji, Giltae Song, Dean Palejev, Xiang Zhu, Wing Hung Wong, Alexander Eckehart Urban

The paper develops a method to detect complex structural variants across human genomes and finds they are associated with phenotypic hotspots and evolutionary changes.

bioRxiv · Feb 2, 2023 · PreprintGenomics

Direct capture of CRISPR guides enables scalable, multiplexed, and multi-omic Perturb-seq

Joseph M. Replogle, Thomas M. Norman, Albert Xu, Jeffrey A. Hussmann, Jin Chen, J. Zachery Cogan, Elliott J. Meer, Jessica M. Terry, Daniel P. Riordan, Niranjan Srinivas, Ian T. Fiddes, Joseph G. Arthur, Luigi J. Alvarado, Katherine A. Pfeiffer, Tarjei Sigurd Mikkelsen, , Britt Adamson

This paper introduces a method to directly capture CRISPR guides in single-cell RNA-sequencing libraries, enhancing Perturb-seq scalability and enabling multi-omic measurements.

Nature Biotechnology · Mar 30, 2020Peer-reviewedGenomics

Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562

Bo Zhou, Steve S. Ho, Stephanie Greer, Xiaowei Zhu, John Bell, Joseph G. Arthur, Noah Spies, Xianglong Zhang, Seunggyu Byeon, Reenal Pattni, Noa Ben-Efraim, Michael Seamus Haney, Rajini Haraksingh, Hanlee P. Ji, Giltae Song, , Alexander Eckehart Urban

The paper provides a comprehensive whole-genome analysis of K562, identifying genomic structural features and their impact on functional genomics data.

Genome Research · Mar 1, 2019Peer-reviewedGenomics

Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2

Bo Zhou, Steve S. Ho, Stephanie Greer, Noah Spies, John Bell, Xianglong Zhang, Xiaowei Zhu, Joseph G. Arthur, Seunggyu Byeon, Reenal Pattni, Ishan Saha, Yi‐Ling Huang, Giltae Song, Dimitri Perrin, Wing Hung Wong, , Alexander Eckehart Urban

This paper provides a haplotype-resolved genome analysis of the HepG2 cell line, identifying genomic features and allele-specific regulation to support functional genomics studies.

Nucleic Acids Research · Mar 1, 2019Peer-reviewedGenomics

Extensive and deep sequencing of the Venter/HuRef genome for developing and benchmarking genome analysis tools

Bo Zhou, Joseph G. Arthur, Steve S. Ho, Reenal Pattni, Yi‐Ling Huang, Wing Hung Wong, Alexander Eckehart Urban

The paper generates deep re-sequencing datasets for the Venter/HuRef genome to develop and benchmark genome analysis tools using Illumina sequencing.

Scientific Data · Dec 18, 2018Peer-reviewedGenomics