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Seong Beom Cho

Showing results (11-20 of 36) with videos related to

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Genomics & Informatics|January 3, 2019
COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-SeqSang Cheol Kim, Donghyeon Yu, Seong Beom Cho
Osong Public Health and Research Perspectives|November 8, 2014
A novel approach for predicting disordered regions in a protein sequenceMeijing Li, Seong Beom Cho, Keun Ho Ryu
Genomics & Informatics|February 24, 2015
Replication of Interactions between Genome-Wide Genetic Variants and Body Mass Index in Fasting Glucose and Insulin LevelsKyung-Won Hong, Myungguen Chung, Seong Beom Cho
Scientific Reports|March 6, 2019
Identification of novel population clusters with different susceptibilities to type 2 diabetes and their impact on the prediction of diabetesSeong Beom Cho, Sang Cheol Kim, Myung Guen Chung
Algorithms for Molecular Biology : AMB|December 25, 2015
HIA: a genome mapper using hybrid index-based sequence alignmentJongpill Choi, Kiejung Park, Seong Beom Cho, et al.
Genomics & Informatics|April 11, 2022
MPI-GWAS: a supercomputing-aided permutation approach for genomewide association studiesHyojung Paik, Yongseong Cho, Seong Beom Cho, et al.
Journal of Translational Medicine|April 16, 2014
Unraveling human protein interaction networks underlying co-occurrences of diseases and pathological conditionsHyojung Paik, Hyoung-Sam Heo, Hyo-jeong Ban, et al.
Plos One|December 11, 2014
Association between Expression Quantitative Trait Loci and Metabolic Traits in Two Korean PopulationsKyung-Won Hong, Seok Won Jeong, Myungguen Chung, et al.
Diabetes & Metabolism Journal|August 15, 2020
Exome Chip Analysis of 14,026 Koreans Reveals Known and Newly Discovered Genetic Loci Associated with Type 2 Diabetes MellitusSeong Beom Cho, Jin Hwa Jang, Myung Guen Chung, et al.
Genomics & Informatics|February 24, 2015
Genome-wide association study of metabolic syndrome in koreansSeok Won Jeong, Myungguen Chung, Soo-Jung Park, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
Genomics & Informatics|January 3, 2019
COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-SeqSang Cheol Kim, Donghyeon Yu, Seong Beom Cho
Osong Public Health and Research Perspectives|November 8, 2014
A novel approach for predicting disordered regions in a protein sequenceMeijing Li, Seong Beom Cho, Keun Ho Ryu
Genomics & Informatics|February 24, 2015
Replication of Interactions between Genome-Wide Genetic Variants and Body Mass Index in Fasting Glucose and Insulin LevelsKyung-Won Hong, Myungguen Chung, Seong Beom Cho
Scientific Reports|March 6, 2019
Identification of novel population clusters with different susceptibilities to type 2 diabetes and their impact on the prediction of diabetesSeong Beom Cho, Sang Cheol Kim, Myung Guen Chung
Algorithms for Molecular Biology : AMB|December 25, 2015
HIA: a genome mapper using hybrid index-based sequence alignmentJongpill Choi, Kiejung Park, Seong Beom Cho, et al.
Genomics & Informatics|April 11, 2022
MPI-GWAS: a supercomputing-aided permutation approach for genomewide association studiesHyojung Paik, Yongseong Cho, Seong Beom Cho, et al.
Journal of Translational Medicine|April 16, 2014
Unraveling human protein interaction networks underlying co-occurrences of diseases and pathological conditionsHyojung Paik, Hyoung-Sam Heo, Hyo-jeong Ban, et al.
Plos One|December 11, 2014
Association between Expression Quantitative Trait Loci and Metabolic Traits in Two Korean PopulationsKyung-Won Hong, Seok Won Jeong, Myungguen Chung, et al.
Diabetes & Metabolism Journal|August 15, 2020
Exome Chip Analysis of 14,026 Koreans Reveals Known and Newly Discovered Genetic Loci Associated with Type 2 Diabetes MellitusSeong Beom Cho, Jin Hwa Jang, Myung Guen Chung, et al.
Genomics & Informatics|February 24, 2015
Genome-wide association study of metabolic syndrome in koreansSeok Won Jeong, Myungguen Chung, Soo-Jung Park, et al.
Pageof 4