- Editor's introduction to this issue (G&I 17:4, 2019)
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Park T
- KMID: 2468861
- Genomics Inform.
- 2019 Dec;17(4):e35.
- doi: 10.5808/GI.2019.17.4.e35
No abstract available. -
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- Recent advances in Bayesian inference of isolation-with-migration models
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Chung Y
- KMID: 2468863
- Genomics Inform.
- 2019 Dec;17(4):e37.
- doi: 10.5808/GI.2019.17.4.e37
Isolation-with-migration (IM) models have become popular for explaining population divergence in the presence of migrations. Bayesian methods are commonly used to estimate IM models, but they are limited to small... -
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- DNA methylation: a cause and consequence of type 2 diabetes
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Kim M
- KMID: 2468864
- Genomics Inform.
- 2019 Dec;17(4):e38.
- doi: 10.5808/GI.2019.17.4.e38
DNA methylation is a relatively stable epigenetic modification that can regulate and stabilize gene expression patterns and hence establish cell identity. Because metabolic intermediates are key factors of DNA methylation... -
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- Review of statistical methods for survival analysis using genomic data
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Lee S, Lim H
- KMID: 2468867
- Genomics Inform.
- 2019 Dec;17(4):e41.
- doi: 10.5808/GI.2019.17.4.e41
Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored†data, in which... -
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- High-quality draft genome and characterization of commercially potent probiotic Lactobacillus strains
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Sulthana A, Lakshmi SG, Madempudi
- KMID: 2468869
- Genomics Inform.
- 2019 Dec;17(4):e43.
- doi: 10.5808/GI.2019.17.4.e43
Lactobacillus acidophilus UBLA-34, L. paracasei UBLPC-35, L. plantarum UBLP-40, and L. reuteri UBLRU-87 were isolated from different varieties of fermented foods. To determine the probiotic safety at the strain level,... -
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- HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data
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Mok L, Park T
- KMID: 2468871
- Genomics Inform.
- 2019 Dec;17(4):e45.
- doi: 10.5808/GI.2019.17.4.e45
To identify pathways associated with survival phenotypes using gene expression data, we recently proposed the hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE) method. The HisCoM-PAGE... -
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- AI, big data, and robots for the evolution of biotechnology
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Kim H
- KMID: 2468870
- Genomics Inform.
- 2019 Dec;17(4):e44.
- doi: 10.5808/GI.2019.17.4.e44
Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. Technologies that can be experienced in... -
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- Functional annotation of de novo variants from healthy individuals
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Lee J, Hong SE
- KMID: 2468872
- Genomics Inform.
- 2019 Dec;17(4):e46.
- doi: 10.5808/GI.2019.17.4.e46
The implications of germline de novo variants (DNVs) in diseases are well documented. Despite extensive research, inconsistencies between studies remain a challenge, and the distribution and genetic characteristics of DNVs... -
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- Long non-coding RNA linc00152 acting as a promising oncogene in cancer progression
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Seo D, Kim D, Kim W
- KMID: 2468862
- Genomics Inform.
- 2019 Dec;17(4):e36.
- doi: 10.5808/GI.2019.17.4.e36
The incidence and mortality rate of cancer continues to gradually increase, although considerable research effort has been directed at elucidating the molecular mechanisms underlying biomarkers responsible for tumorigenesis. Accumulated evidence... -
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- Analysis of unmapped regions associated with long deletions in Korean whole genome sequences based on short read data
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Lee Y, Park K, Koh I
- KMID: 2468866
- Genomics Inform.
- 2019 Dec;17(4):e40.
- doi: 10.5808/GI.2019.17.4.e40
While studies aimed at detecting and analyzing indels or single nucleotide polymorphisms within human genomic sequences have been actively conducted, studies on detecting long insertions/deletions are not easy to orchestrate.... -
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- The extension of the largest generalized-eigenvalue based distance metric D(ij)(γâ‚) in arbitrary feature spaces to classify composite data points
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Daoud M
- KMID: 2468865
- Genomics Inform.
- 2019 Dec;17(4):e39.
- doi: 10.5808/GI.2019.17.4.e39
Analyzing patterns in data points embedded in linear and non-linear feature spaces is considered as one of the common research problems among different research areas, for example: data mining, machine... -
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- Recapitulation of previously reported associations for type 2 diabetes and metabolic traits in the 126K East Asians
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Choi JY, Jang HM, Han S, Hwang MY, Kim BJ, Kim YJ
- KMID: 2468874
- Genomics Inform.
- 2019 Dec;17(4):e48.
- doi: 10.5808/GI.2019.17.4.e48
Over the last decade, genome-wide association studies (GWASs) have provided an unprecedented amount of genetic variations that are associated with various phenotypes. However, previous GWAS were mostly conducted in European... -
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- Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes
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Park C, Jiang N, Park T
- KMID: 2468873
- Genomics Inform.
- 2019 Dec;17(4):e47.
- doi: 10.5808/GI.2019.17.4.e47
The achievements of genome-wide association studies have suggested ways to predict diseases, such as type 2 diabetes (T2D), using single-nucleotide polymorphisms (SNPs). Most T2D risk prediction models have used SNPs... -
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- Detection of KRAS mutations in plasma cell-free DNA of colorectal cancer patients and comparison with cancer panel data for tissue samples of the same cancers
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Min S, Shin S, Chung YJ
- KMID: 2468868
- Genomics Inform.
- 2019 Dec;17(4):e42.
- doi: 10.5808/GI.2019.17.4.e42
Robust identification of genetic alterations is important for the diagnosis and subsequent treatment of tumors. Screening for genetic alterations using tumor tissue samples may lead to biased interpretations because of... -
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