Author

Jihoon Kim

UC San Diego Health SystemORCID 0000-0002-5351-238XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jihoon Kim1 paper

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Lucila Ohno-machado AiD· 2 shared Olivier HarismendyiD· 2 shared Andrea H. RamireziD· 1 shared Greg A. TalaveraiD· 1 shared Henry Robert Condon· 1 shared Jeffrey D. EskoiD· 1 shared Justine H. Ryu· 1 shared Kelsey MayoiD· 1 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Lucila Ohno-machado AORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintNov 23, 2022

Common and Rare Variants Associated with Cardiometabolic Traits across 98,622 Whole-Genome Sequences in the All of Us Research Program

Xin Wang, Justine H. Ryu, Jihoon Kim…·Seung Hoan Choi

The paper analyzes whole-genome sequences from 98,622 participants to identify common and rare variants associated with cardiometabolic traits, replicating known associations and finding new loci.

2 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedNov 14, 2017

PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens

Philipp N. Spahn, Tyler Bath, Ryan J. Weiss…·Olivier Harismendy

PinAPL-Py provides a user-friendly web application for analyzing CRISPR/Cas9 screening data, offering comprehensive tools and workflows for sequence analysis and gene ranking.

99 citations

CRISPR screenstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintOct 28, 2017

Sharing genetic admixture and diversity of public biomedical datasets

Olivier Harismendy, Jihoon Kim, Xiaojun Xu, Lucila Ohno-machado A

The paper proposes a framework to enrich public biomedical datasets with admixture information and diversity scores, using The Cancer Genome Atlas data to demonstrate its utility.

DOI 10.1101/210716

humanwhole-genome sequencing

𝕏 PostBluesky