Heejin Park
Hanyang University
54 Papers
316 Citations
Heejin Park is an academic researcher from Hanyang University. The author has contributed to research in topics: Compressed suffix array & Generalized suffix tree. The author has an hindex of 18, co-authored 47 publications. Previous affiliations of Heejin Park include Seoul National University.
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Papers
Proteogenomic Characterization of Human Early-Onset Gastric Cancer
Dong Gi Mun,Jinhyuk Bhin,Jinhyuk Bhin,Sangok Kim,Hyunwoo Kim,Hyunwoo Kim,Jae Hun Jung,Yeonjoo Jung,Ye Eun Jang,Jong-Moon Park,Hokeun Kim,Yeonhwa Jung,Hangyeore Lee,Jingi Bae,Seunghoon Back,Su Jin Kim,Ji-Eun Kim,Heejin Park,Honglan Li,Kyu-Baek Hwang,Young Soo Park,Jeong Hwan Yook,Byung Sik Kim,Sun Young Kwon,Seung Wan Ryu,Do Youn Park,Tae Yong Jeon,Dae Hwan Kim,Jae Hyuck Lee,Sang-Uk Han,Kyu Sang Song,Dongmin Park,Jun Won Park,Henry Rodriguez,Jaesang Kim,Hookeun Lee,Kwang Pyo Kim,Eun Gyeong Yang,Hark Kyun Kim,Eunok Paek,Sanghyuk Lee,Sang Won Lee,Daehee Hwang +42 more
TL;DR: Proteogenomic analysis of diffuse gastric cancers in young populations provides additional information beyond genomic analyses, which can improve understanding of cancer biology and patient stratification in diffuse GCs.
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MODi: a powerful and convenient web server for identifying multiple post-translational peptide modifications from tandem mass spectra.
Sangtae Kim,Seungjin Na,Ji Woong Sim,Heejin Park,Jaeho Jeong,Hokeun Kim,Younghwan Seo,Jawon Seo,Kong-Joo Lee,Eunok Paek +9 more
TL;DR: MODi is powerful in that it can interpret a tandem mass spectrum even when hundreds of modification types are considered and the number of potential PTMs in a peptide is large, in contrast to most of the methods currently available for spectra interpretation that limit thenumber of PTM sites and types being used for PTM analysis.
Unrestrictive Identification of Multiple Post-translational Modifications from Tandem Mass Spectrometry Using an Error-tolerant Algorithm Based on an Extended Sequence Tag Approach
TL;DR: A new algorithm, called MODi (pronounced “mod eye”), that rapidly searches for all known types of PTMs at once without limiting a multitude of modified sites in a peptide, which may exist in a greater variety than usually expected.
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Isotopic Peak Intensity Ratio Based Algorithm for Determination of Isotopic Clusters and Monoisotopic Masses of Polypeptides from High-Resolution Mass Spectrometric Data
TL;DR: A mathematical model for isotopic distributions of polypeptides and an effective interpretation algorithm for high-resolution mass spectra obtained from a Fourier transform ion cyclotron resonance (FTICR) mass spectrometer coupled to reverse-phase liquid chromatography (RPLC).
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Using multiple indexes for efficient subsequence matching in time-series databases
TL;DR: This paper quantitatively examines the performance degradation caused by the window size effect, and formally proves the optimality as well as the effectiveness of the algorithm that determines the optimal window sizes for maximizing the performance of entire subsequence matchings.
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