- Evaluation and Interpretation of Transcriptome Data Underlying Heterogeneous Chronic Obstructive Pulmonary Disease
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Ham S, Oh YM, Roh TY
- KMID: 2447792
- Genomics Inform.
- 2019 Mar;17(1):e2.
- doi: 10.5808/GI.2019.17.1.e2
Chronic obstructive pulmonary disease (COPD) is a type of progressive lung disease, featured by airflow obstruction. Recently, a comprehensive analysis of the transcriptome in lung tissue of COPD patients was... -
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- Comparative analysis of commonly used peak calling programs for ChIP-Seq analysis
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Jeon H, Lee H, Kang B, Jang I, Roh TY
- KMID: 2510357
- Genomics Inform.
- 2020 Dec;18(4):e42.
- doi: 10.5808/GI.2020.18.4.e42
Chromatin immunoprecipitation coupled with high-throughput DNA sequencing (ChIP-Seq) is a powerful technology to profile the location of proteins of interest on a whole-genome scale. To identify the enrichment location of... -
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- A Follow-up Association Study of Genetic Variants for Bone Mineral Density in a Korean Population
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Ham S, Roh TY
- KMID: 2009098
- Genomics Inform.
- 2014 Sep;12(3):114-120.
- doi: 10.5808/GI.2014.12.3.114
Bone mineral density (BMD) is one of the quantitative traits that are genetically inherited and affected by various factors. Over the past years, genome-wide association studies (GWASs) have searched for... -
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- Characterization of Chromatin Structure-associated Histone Modifications in Breast Cancer Cells
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Hong CP, Choe MK, Roh TY
- KMID: 1806243
- Genomics Inform.
- 2012 Sep;10(3):145-152.
- doi: 10.5808/GI.2012.10.3.145
Chromatin structure and dynamics that are influenced by epigenetic marks, such as histone modification and DNA methylation, play a crucial role in modulating gene transcription. To understand the relationship between... -
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- Bioinformatics services for analyzing massive genomic datasets
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Ko G, Kim PG, Cho Y, Jeong S, Kim JY, Kim KH, Lee HY, Han J, Yu N, Ham S, Jang I, Kang B, Shin S, Kim L, Lee SW, Nam D, Kim JF, Kim N, Kim SY, Lee S, Roh TY, Lee B
- KMID: 2501328
- Genomics Inform.
- 2020 Mar;18(1):e8.
- doi: 10.5808/GI.2020.18.1.e8
The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount of genomic data has been increasing rapidly in the recent... -
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