Skip Navigation
Skip to contents
Filter

ARTICLE TYPE

PUBLICATION DATE

10 results
Display

A Simple and Fast Web Alignment Tool for Large Amount of Sequence Data

Lee YS, Oh J

  • KMID: 2166414
  • Genomics Inform.
  • 2008 Sep;6(3):157-159.
Multiple sequence alignment (MSA) is the most important step for many of biological sequence analyses, homology search, and protein structural assignments. However, large amount of data make biologists difficult to perform...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
StrokeBase: A Database of Cerebrovascular Disease-related Candidate Genes

Kim YU, Kim IH, Bang OS, Kim YJ

  • KMID: 2166413
  • Genomics Inform.
  • 2008 Sep;6(3):153-156.
Complex diseases such as stroke and cancer have two or more genetic loci and are affected by environmental factors that contribute to the diseases. Due to the complex characteristics of...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Parsing KEGG XML Files to Find Shared and Duplicate Compounds Contained in Metabolic Pathway Maps: A Graph-Theoretical Perspective

Kang SH, Jang MH, Whang J, Park HS

  • KMID: 2166412
  • Genomics Inform.
  • 2008 Sep;6(3):147-152.
The basic graph layout technique, one of many visualization techniques, deals with the problem of positioning vertices in a way to maximize some measure of desirability in a graph. The...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
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...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Disease Prediction Using Ranks of Gene Expressions

Kim KY, Ki DH, Chung HC, Rha SY

  • KMID: 2166410
  • Genomics Inform.
  • 2008 Sep;6(3):136-141.
A large number of studies have been performed to identify biomarkers that will allow efficient detection and determination of the precise status of a patient's disease. The use of microarrays...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Haplotype Phylogeny of a 200kb Region in the Human Chromosome X Terminal Band (q28)

Kim S

  • KMID: 2166409
  • Genomics Inform.
  • 2008 Sep;6(3):130-135.
The haplotypes of a 200 kb region in the human chromosome X terminal band (q28) were analyzed using the International HapMap Project PhaseII data, which had been collected for three...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
CGHscape: A Software Framework for the Detection and Visualization of Copy Number Alterations

Jeong YB, Kim TM, Chung YJ

  • KMID: 2166408
  • Genomics Inform.
  • 2008 Sep;6(3):126-129.
The robust identification and comprehensive profiling of copy number alterations (CNAs) is highly challenging. The amount of data obtained from high-throughput technologies such as array-based comparative genomic hybridization is often...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Gene Expression Profiling in C57BL/6 Mice Treated with the Anorectic Drugs Sibutramine and Phendimetrazine and Their Mechanistic Implications

Ko MJ, Choi HS, Ahn JI, Kim SY, Jeong HS, Chung HJ

  • KMID: 2166406
  • Genomics Inform.
  • 2008 Sep;6(3):117-125.
Recently, obesity has become a worldwide public health concern and the use of anorectic drugs has drastically increased. In this study, sibutramine and phendimetrazine, representative marketed anorectics, were repeatedly administered...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Association between Prostaglandin-endoperoxide Synthase 2 (PTGS2) Polymorphisms and Blood Pressure in Korean Population

Jin HS, Hong KW, Lim JE, Han HR, Lee JY, Park HK, Oh B

  • KMID: 2166404
  • Genomics Inform.
  • 2008 Sep;6(3):110-116.
Blood pressure refers to the force exerted by circulating blood on the walls of blood vessels, and chronical elevation of blood pressure is known as hypertension. Although hypertension is affected...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Protein Tyrosine Phosphatase N1 Gene Variants Associated with Type 2 Diabetes Mellitus and Its Related Phenotypes in the Korean Population

Hong KW, Jin HS, Lim JE, Ryu HJ, Ahn Y, Lee JY, Han BG, Shin HD, Cho NH, Shin C, Woo JT, Park HK, Oh B

  • KMID: 2166401
  • Genomics Inform.
  • 2008 Sep;6(3):99-109.
Protein phosphorylation at tyrosine residues is a key regulatory event that modulates insulin signal transduction. We studied the PTPN1 gene with regard to susceptibility to Korean type 2 diabetes mellitus (T2DM)...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2021 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr