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English Abstract
- High Throughput Genotyping for Genomic Cohort Study.
- Woong Yang Park
- J Prev Med Public Health. 2007;40(2):102-107.
- DOI: https://doi.org/10.3961/jpmph.2007.40.2.102
- 3,826 View
- 25 Download
- 2 Crossref
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Abstract
PDF - Human Genome Project (HGP) could unveil the secrets of human being by a long script of genetic codes, which enabled us to get access to mine the cause of diseases more efficiently. Two wheels for HGP, bioinformatics and high throughput technology are essential techniques for the genomic medicine. While microarray platforms are still evolving, we can screen more than 500,000 genotypes at once. Even we can sequence the whole genome of an organism within a day. Because the future medicne will focus on the genetic susceptibility of individuals, we need to find genetic variations of each person by efficient genotyping methods.
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- A novel protein chip for simultaneous detection of antibodies against four epidemic swine viruses in China
Yue Wu, Xudan Wu, Jing Chen, Jingfei Hu, Xiaobo Huang, Bin Zhou
BMC Veterinary Research.2020;[Epub] CrossRef - Detection and Differentiation of Four Poultry Diseases Using Asymmetric Reverse Transcription Polymerase Chain Reaction in Combination with Oligonucleotide Microarrays
Qimeng Tao, Xiurong Wang, Hongmei Bao, Jianan Wu, Lin Shi, Yanbing Li, Chuanling Qiao, Samuilenko Anatolij Yakovlevich, Poukhova Nina Mikhaylovna, Hualan Chen
Journal of Veterinary Diagnostic Investigation.2009; 21(5): 623. CrossRef
Original Article- Bioinformatics and Genomic Medicine.
- Ju Han Kim
- Korean J Prev Med. 2002;35(2):83-91.
- 2,463 View
- 38 Download
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Abstract
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- Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences. Clinical informatics has long developed methodologies to improve biomedical research and clinical care by integrating experimental and clinical information systems. The informatics revolutions both in bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics, and prognostics.Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. The paper describes how these technologies will impact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics and proteomics. Basic data preprocessing with normalization, primary pattern analysis, and machine learning algorithms will be presented. Use of integrated biochip informatics technologies, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.
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