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Post-GWAS Strategies

Kim S, Bhak J

  • KMID: 1450879
  • Genomics Inform.
  • 2011 Mar;9(1):1-4.
Genome-wide association (GWA) studies are the method of choice for discovering loci associated with common diseases. More than a thousand GWA studies have reported successful identification of statistically significant association...
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BioSubroutine: an Open Web Server for Bioinformatics Algorithms and Subroutines

Lee J, Kim H, Lee W, Chung D, Bhak J

  • KMID: 1572619
  • Genomics Inform.
  • 2005 Mar;3(1):35-38.
We present BioSubroutine, an open depository server that automatically categorizes various subroutines frequently used in bioinformatics research. We processed a large bioinformatics subroutine library called Bio.pl that was the first...
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BioCovi: A Visualization Service for Comparative Genomics Analysis

Lee J, Park D, Bhak J

  • KMID: 1572632
  • Genomics Inform.
  • 2005 Jun;3(2):52-54.
Visualization of the homology information is an important method to analyze the evolutionary and functional meanings of genes. With a database containing model genomes of Homo sapiens, Mus muculus, and...
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Biological Object Downloader (BOD) Service for Easy Download and Management of Biological Databases

Park D, Lee J, Yoon G, Gong S, Bhak J

  • KMID: 2166287
  • Genomics Inform.
  • 2007 Dec;5(4):196-199.
BOD is an FTP service management tool on the Internet. It was developed for biological researchers in South Korea. It enables easier and faster access of bioinformation without having to...
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A Clinical Risk Score to Predict In-hospital Mortality from COVID-19 in South Korea

Her AY, Bhak Y, Jun EJ, Yuan SL, Garg S, Lee S, Bhak J, Shin ES

Background: Early identification of patients with coronavirus disease 2019 (COVID-19) who are at high risk of mortality is of vital importance for appropriate clinical decision making and delivering optimal treatment....
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Personal Genomics, Bioinformatics, and Variomics

Bhak J, Ghang H, Reja R, Kim S

  • KMID: 2166415
  • Genomics Inform.
  • 2008 Dec;6(4):161-165.
In 2008 at least five complete genome sequences are available. It is known that there are over 15,000,000 genetic variants, called SNPs, in the dbSNP database. The cost of full...
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The Atom of Evolution

Bhak J, Bolser D, Park D, Cho Y, Yoon K, Lee S, Gong S, Jang I, Park C, Huston M, Choi H

  • KMID: 1515373
  • Genomics Inform.
  • 2004 Dec;2(4):167-173.
The main mechanism of evolution is that biological entities change, are selected, and reproduce. We propose a different concept in terms of the main agent or atom of evolution: in...
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HExDB: Human EXon DataBase for Alternative Splicing Pattern Analysis

Park J, Lee M, Bhak J

  • KMID: 1572678
  • Genomics Inform.
  • 2005 Sep;3(3):80-85.
HExDB is a database for analyzing exon and splicing pattern information in Homo sapiens. HExDB is useful for specific purposes: 1) to design primers for exon amplification from cDNA and...
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High Correlation between Alu Elements and the Conversion of 3' UTR of mRNAs Processed Pseudogenes

An HJ, Na D, Lee D, Lee KH, Bhak J

  • KMID: 2166170
  • Genomics Inform.
  • 2004 Jun;2(2):86-91.
Even though it represents 6 13% of human genomic DNA, Alu sequences are rarely found in coding regions. When in exon region, over 80 % of them are found in...
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BioCC: An Openfree Hypertext Bio Community Cluster for Biology

Gong S, Kim TH, Oh J, Kwon J, Cho SA, Bolser D, Bhak J

  • KMID: 1512147
  • Genomics Inform.
  • 2006 Sep;4(3):125-128.
We present an openfree hypertext (also known as wiki) web cluster called BioCC. BioCC is a novel wiki farm that lets researchers create hundreds of biological web sites. The web...
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New Lung Cancer Panel for High-Throughput Targeted Resequencing

Kim EH, Lee S, Park J, Lee K, Bhak J, Kim BC

We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently...
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Structural Bioinformatics Analysis of Disease-related Mutations

Park SJ, Oh S, Park D, Bhak J

  • KMID: 2166411
  • Genomics Inform.
  • 2008 Sep;6(3):142-146.
In order to understand the protein functions that are related to disease, it is important to detect the correlation between amino acid mutations and isease. Many mutation studies about disease-related...
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How Many SNPs Should Be Used for the Human Phylogeny of Highly Related Ethnicities? A Case of Pan Asian 63 Ethnicities

Ghang H, Han Y, Jeong S, Bhak J, Lee S, Kim TH, Kim C, Kim S, Al-Mulla F, Youn CH, Yoo HS, The HUGO Pan-Asian SNP Consortium

  • KMID: 2053274
  • Genomics Inform.
  • 2011 Dec;9(4):181-188.
In planning a model-based phylogenic study for highly related ethnic data, the SNP marker number is an important factor to determine for relationship inferences. Genotype frequency data, utilizing a sub...
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