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MiRPI: Portable Software to Identify Conserved miRNAs, Targets and to Calculate Precursor Statistics

Vignesh D, Parameswari P, Im SB, Kim HJ, Lim YP

  • KMID: 1450885
  • Genomics Inform.
  • 2011 Mar;9(1):39-43.
MicroRNAs (miRNAs) are recently discovered small RNA molecules usually resulting in translational repression and gene silencing. Despite the fact that specific cloning of small RNA's is a method in practice,...
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ManBIF: a Program for Mining and Managing Biobank Impact Factor Data

Yu KJ, Nam J, Her Y, Chu M, Seo H, Kim J, Jeon J, Park H, Park K

  • KMID: 1450884
  • Genomics Inform.
  • 2011 Mar;9(1):37-38.
Biobank Impact Factor (BIF), which is a very effective criterion to evaluate the activity of biobanks, can be estimated by the citation information of biobanks from scientific papers. We have...
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Finding Interesting Genes Using Reliability in Various Gene Expression Models

Lee EK, Cook D, Hoffman H

  • KMID: 1450883
  • Genomics Inform.
  • 2011 Mar;9(1):28-36.
Most statistical methods for finding interesting genes are focusing on the summary values with large fold-changes or large variations. Very few methods consider the probe level data. We developed a...
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Standard-based Integration of Heterogeneous Large-scale DNA Microarray Data for Improving Reusability

Jung Y, Seo HJ, Park YR, Kim J, Bien SJ, Kim JH

  • KMID: 1450882
  • Genomics Inform.
  • 2011 Mar;9(1):19-27.
Gene Expression Omnibus (GEO) has kept the largest amount of gene-expression microarray data that have grown exponentially. Microarray data in GEO have been generated in many different formats and often...
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Genetic Association between Eotaxin Genes and Asthma and Its Relationship to Birth Season in Korean Children

Ahn I, Bae SE, Kim JH, Son BK, Son HS, Cho SI

  • KMID: 1450881
  • Genomics Inform.
  • 2011 Mar;9(1):12-18.
Asthma is a chronic disease associated with airway constriction due to inflammation caused by eosinophils, mast cells, and T lymphocytes, leading to serious chronic illness in children. The eotaxin gene...
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Recent Progresses in the Linguistic Modeling of Biological Sequences Based on Formal Language Theory

Park HS, Galbadrakh B, Kim YM

  • KMID: 1450880
  • Genomics Inform.
  • 2011 Mar;9(1):5-11.
Treating genomes just as languages raises the possibility of producing concise generalizations about information in biological sequences. Grammars used in this way would constitute a model of underlying biological processes...
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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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