Author

Fan Zhang

University of MichiganORCID 0000-0002-6802-4514Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Fan Zhang11 papers · Hong Kong University of Science and Technology

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Assay:ATAC-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Hyun Min KangiD· 3 shared Anton Ogorodnikov· 1 shared Carlos N. PatoiD· 1 shared Chun YeiD· 1 shared David S. LeeiD· 1 shared George C. HartoularosiD· 1 shared Gonçalo R. AbecasisiD· 1 shared Laura J. ScottiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Hyun Min KangORCID

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3 papers

Recent·Most cited

Reference-free multiplexed single-cell sequencing identifies genetic modifiers of the human immune response

George C. Hartoularos, Yichen Si, Fan Zhang, Pooja Kathail, David S. Lee, Anton Ogorodnikov, Yang Sun, Yun S. Song, Hyun Min Kang, Chun Ye

The paper introduces clue, a reference-free framework for multiplexed single-cell sequencing to identify genetic modifiers of immune responses using SNP-based clustering and eQTL mapping.

bioRxiv · May 29, 2023 · PreprintGenomics

FASTQuick: Rapid and comprehensive quality assessment of raw sequence reads

Fan Zhang, Hyun Min Kang

FASTQuick provides fast and comprehensive quality metrics for raw sequence reads without full genome alignment, enabling efficient quality assessment in large-scale genomic studies.

GigaScience · Jan 29, 2021Peer-reviewedBioinformatics

Ancestry-agnostic estimation of DNA sample contamination from sequence reads

Fan Zhang, Matthew Flickinger, Sarah A. Gagliano Taliun, Gonçalo R. Abecasis, Laura J. Scott, Steven A. McCaroll, Carlos N. Pato, Michael Boehnke, Hyun Min Kang

This paper introduces a contamination estimation method that is agnostic to genetic ancestry, improving accuracy in DNA sample analysis.

Genome Research · Feb 1, 2020Peer-reviewedBioinformatics