Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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ManBIF: a Program for Mining and Managing Biobank Impact Factor Data

  • Yu, Ki-Jin (Division of Bio-Medical Informatics, Center for Genome Science, National Institute of Health) ;
  • Nam, Jung-Min (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Her, Yun (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Chu, Min-Seock (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Seo, Hyung-Seok (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Kim, Jun-Woo (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Jeon, Jae-Pil (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Park, Hye-Kyung (Division of Korea BioBank, Center for Genome Science, National Institute of Health) ;
  • Park, Kie-Jung (Division of Bio-Medical Informatics, Center for Genome Science, National Institute of Health)
  • Accepted : 2011.03.07
  • Published : 2011.03.31
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Abstract

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 developed a program, ManBIF, to investigate the citation information from PDF files in the literature. The program manages a dictionary for expressions to represent biobanks and their resources, mines the citation information by converting PDF files to text files and searching with a dictionary, and produces a statistical report file. It can be used as an important tool by biobanks.

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References

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