- Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters
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Kim JH, Nam HJ, Park HS
- KMID: 2462039
- Genomics Inform.
- 2019 Sep;17(3):e25.
- doi: 10.5808/GI.2019.17.3.e25
Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Herein, we conduct a statistical analysis of the publications of Genomics & Informatics... -
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- Editor's introduction to this issue (G&I 17:3, 2019)
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Park T
- KMID: 2462036
- Genomics Inform.
- 2019 Sep;17(3):e22.
- doi: 10.5808/GI.2019.17.3.e22
No abstract available. -
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- Direct-to-consumer genetic testing: advantages and pitfalls
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Oh B
- KMID: 2462047
- Genomics Inform.
- 2019 Sep;17(3):e33.
- doi: 10.5808/GI.2019.17.3.e33
No abstract available. -
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- Direct-to-consumer genetic testing
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Kim JW
- KMID: 2462048
- Genomics Inform.
- 2019 Sep;17(3):e34.
- doi: 10.5808/GI.2019.17.3.e34
Direct-to-consumer (DTC) genetic testing is a controversial issue although Korean Government is considering to expand DTC genetic testing. Preventing the exaggeration and abusing of DTC genetic testing is an important... -
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- The interaction between gut microbiome and nutrients on development of human disease through epigenetic mechanisms
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Lee HS
- KMID: 2462038
- Genomics Inform.
- 2019 Sep;17(3):e24.
- doi: 10.5808/GI.2019.17.3.e24
Early environmental exposure is recognized as a key factor for long-term health based on the Developmental Origins of Health and Disease hypothesis. It considers that early-life nutrition is now being... -
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- Analysis of differences in human leukocyte antigen between the two Wellcome Trust Case Control Consortium control datasets
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Jang CS, Choi W, Cook S, Han B
- KMID: 2462043
- Genomics Inform.
- 2019 Sep;17(3):e29.
- doi: 10.5808/GI.2019.17.3.e29
The Wellcome Trust Case Control Consortium (WTCCC) study was a large genome-wide association study that aimed to identify common variants associated with seven diseases. That study combined two control datasets... -
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- Deep learning for stage prediction in neuroblastoma using gene expression data
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Park A, Nam S
- KMID: 2462044
- Genomics Inform.
- 2019 Sep;17(3):e30.
- doi: 10.5808/GI.2019.17.3.e30
Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool... -
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- Identification of neoantigens derived from alternative splicing and RNA modification
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Park J, Chung YJ
- KMID: 2462037
- Genomics Inform.
- 2019 Sep;17(3):e23.
- doi: 10.5808/GI.2019.17.3.e23
The acquisition of somatic mutations is the most common event in cancer. Neoantigens expressed from genes with mutations acquired during carcinogenesis can be tumor-specific. Since the immune system recognizes tumor-specific... -
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- In silico approach to calculate the transcript capacity
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Lee YS, Won KH, Oh JD, Shin D
- KMID: 2462045
- Genomics Inform.
- 2019 Sep;17(3):e31.
- doi: 10.5808/GI.2019.17.3.e31
We sought the novel concept, transcript capacity (TC) and analyzed TC. Our approach to estimate TC was through an in silico method. TC refers to the capacity that a transcript... -
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- De novo transcriptome sequencing and gene expression profiling with/without B-chromosome plants of Lilium amabile
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Park D, Kim JH, Kim NS
- KMID: 2462041
- Genomics Inform.
- 2019 Sep;17(3):e27.
- doi: 10.5808/GI.2019.17.3.e27
Supernumerary B chromosomes were found in Lilium amabile (2n = 2x = 24), an endemic Korean lily that grows in the wild throughout the Korean Peninsula. The extra B chromosomes... -
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- Comparison of the MGISEQ-2000 and Illumina HiSeq 4000 sequencing platforms for RNA sequencing
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Jeon SA, Park JL, Kim JH, Kim JH, Kim YS, Kim JC, Kim SY
- KMID: 2462046
- Genomics Inform.
- 2019 Sep;17(3):e32.
- doi: 10.5808/GI.2019.17.3.e32
Currently, Illumina sequencers are the globally leading sequencing platform in the next-generation sequencing market. Recently, MGI Tech launched a series of new sequencers, including the MGISEQ-2000, which promise to deliver... -
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- FusionScan: accurate prediction of fusion genes from RNA-Seq data
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Kim P, Jang YE, Lee S
- KMID: 2462040
- Genomics Inform.
- 2019 Sep;17(3):e26.
- doi: 10.5808/GI.2019.17.3.e26
Identification of fusion gene is of prominent importance in cancer research field because of their potential as carcinogenic drivers. RNA sequencing (RNA-Seq) data have been the most useful source for... -
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- Optimization of a microarray for fission yeast
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Kim DU, Lee M, Han S, Nam M, Lee S, Lee J, Woo J, Kim D, Hoe KL
- KMID: 2462042
- Genomics Inform.
- 2019 Sep;17(3):e28.
- doi: 10.5808/GI.2019.17.3.e28
Bar-code (tag) microarrays of yeast gene-deletion collections facilitate the systematic identification of genes required for growth in any condition of interest. Anti-sense strands of amplified bar-codes hybridize with ~10,000 (5,000... -
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