Author

Shimin Shuai

Southern University of Science and TechnologyORCID 0000-0002-9527-8018Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:CRISPR screen· 1

Frequent Co-Authors

Lincoln David SteiniD· 2 shared Abdullah KahramaniD· 1 shared Abel González-PéreziD· 1 shared Amanda AmoahiD· 1 shared André KahlesiD· 1 shared Andreas LieboldiD· 1 shared Andrés LanzósiD· 1 shared Anthony Dick HoiD· 1 shared

Activity by Year

2017-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

Lincoln David SteinORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Molecular BiologyCell ReportsPeer-reviewedJul 1, 2025

Multimodal CRISPR screens uncover DDX39B as a global repressor of A-to-I RNA editing

Tianzi Wei, Jiaxuan Li, Xiang Lei…·Ruilin Tian

This study identifies DDX39B as a global repressor of A-to-I RNA editing using CRISPR screens and shows its potential as a therapeutic target for anti-HDV therapy.

6 citations

humanCRISPR screen

𝕏 PostBluesky

GenomicsNature GeneticsPeer-reviewedMay 28, 2024

Cell type-specific consequences of mosaic structural variants in hematopoietic stem and progenitor cells

Karen Grimes, Hyobin Jeong, Amanda Amoah…·Jan O. Korbel

This study identifies cell type-specific molecular consequences of mosaic structural variants in hematopoietic stem and progenitor cells across aging.

22 citationstop 3%

humanscRNA-seq

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GenomicsbioRxivPreprintDec 23, 2017

Discovery and characterization of coding and non-coding driver mutations in more than 2,500 whole cancer genomes

Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal…·Gad A. Getz

The paper identifies and characterizes coding and non-coding driver mutations across 2,500 cancer genomes, revealing new candidates and questioning previous findings.

40 citations

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintNov 6, 2017

DriverPower: Combined burden and functional impact tests for cancer driver discovery

Shimin Shuai, Steve Gallinger, Lincoln David Stein, on behalf of the PCAWG Drivers and Functional Interpretation Group and the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Network

DriverPower identifies cancer driver mutations by combining mutational burden and functional impact scores, outperforming existing methods in coding and non-coding driver discovery.

4 citations

humanwhole-genome sequencing

𝕏 PostBluesky