Author

Sungkyu Kyung

Samsung Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

A Vipin MenoniD· 1 shared Boram LeeiD· 1 shared Byunggook NaiD· 1 shared Daehyun Baek· 1 shared Daeun RyuiD· 1 shared Dohun Yi· 1 shared Donghyun ParkiD· 1 shared Hyun‐Tae ShiniD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

A Vipin MenonORCID

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2 papers

Recent·Most cited

Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome k-mer Sets

Jang-il Sohn, Min-Hak Choi, Dohun Yi, A Vipin Menon, Yeon Jeong Kim, Junehawk Lee, Jung Woo Park, Sungkyu Kyung, Seung‐Ho Shin, Byunggook Na, Je‐Gun Joung, Young Seok Ju, Min Sun Yeom, Youngil Koh, Sung‐Soo Yoon, , Jin‐Wu Nam

ETCHING is an ultra-fast somatic structural variation caller that reduces mapping costs and false positives using pan-genome k-mer sets and a Random Forest classifier.

Nature Biomedical Engineering · Dec 19, 2022Peer-reviewedBioinformatics

JuLI: accurate detection of DNA fusions in clinical sequencing for precision oncology

Hyun‐Tae Shin, Nayoung K. D. Kim, Jae Won Yun, Boram Lee, Sungkyu Kyung, Ki-Wook Lee, Daeun Ryu, Jin-Ho Kim, Joon Seol Bae, Donghyun Park, Yoon‐La Choi, Se‐Hoon Lee, Myung‐Ju Ahn, Keunchil Park, Woong‐Yang Park

JuLI improves DNA fusion detection in clinical sequencing by reducing false positives and increasing sensitivity, outperforming existing methods in high-depth sequencing.

Journal of Molecular Diagnostics · Dec 24, 2019Peer-reviewedBioinformatics