• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.765-774
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• 2004

In order to integrate heterogeneous biological information sources, it is necessary to define the view that represents unified viewpoint for the multiple sources by hiding heterogeneity of the data. We present an XML-based view definition model and show Its operating principles in designing the middleware system to integrate biological information sources. This model supports the user-defined XML view to increase flexibility in constructing the integration system and execute integrated queries on higher level ion. Based on the view-definition model, we present a wrapping model for relational database systems and web resources as well as an application program.

• Genomics & Informatics
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• v.10 no.1
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• pp.44-50
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• 2012

Pattern discovery in biological sequences (e.g., DNA sequences) is one of the most challenging tasks in computational biology and bioinformatics. So far, in most approaches, the number of occurrences is a major measure of determining whether a pattern is interesting or not. In computational biology, however, a pattern that is not frequent may still be considered very informative if its actual support frequency exceeds the prior expectation by a large margin. In this paper, we propose a new interesting measure that can provide meaningful biological information. We also propose an efficient index-based method for mining such interesting patterns. Experimental results show that our approach can find interesting patterns within an acceptable computation time.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1068-1081
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• 2019

Signal complexity is one point of view to analyze the biological signal. It arises as a result of the physiological signal produced by biological systems. Signal complexity can be used as a method in extracting the feature for a biological signal to differentiate a pathological signal from a normal signal. In this research, Hjorth descriptors, one of the signal complexity measurement techniques, were measured on signal sub-band as the features for lung sounds classification. Lung sound signal was decomposed using two wavelet analyses: discrete wavelet transform (DWT) and wavelet packet decomposition (WPD). Meanwhile, multi-layer perceptron and N-fold cross-validation were used in the classification stage. Using DWT, the highest accuracy was obtained at 97.98%, while using WPD, the highest one was found at 98.99%. This result was found better than the multi-scale Hjorth descriptor as in previous studies.

• Journal of Korean Medical classics
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• v.20 no.4
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• pp.171-186
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• 2007

The fusion research subjects of Oriental medicine and Bio-Technology are actively advanced. Development of information analysis algorithm for constitution diagnosis using clinical and biological information is started recently. In addition, the research for providing personal oriented treatment information with Diagnosis result is to in the process of advancing. This paper considers the inside and outside of the country technical development trend of research for using clinical and biological information by analyzing patents and papers. It executed information analysis about changes to number of research papers and patents, present state and star higher officer of research facility from the dissertation which it sees. It is known that our country research result is slight so far in quantity and quality as result of analysis. But hereafter it contains a many developmental possibility. Also it reflects the appearance and a growth of new field like bioinformatics from constitution and bio information application field. The combination of bio information similar to constitution and heredity and computing technology to control those information efficiently comes to think with core technique.

• Journal of Information Management
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• v.40 no.1
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• pp.217-234
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• 2009

In computer-based virtual lab, a bioscience researcher who wants to obtain bio information first uses a biodiversity-related database to retrieve information on species, ecology and distribution of an organism. The researcher also needs to access gene/protein databases such as GenBank or PDB to find information on the organism's genetic sequence and protein structure. Furthermore, the researcher should search for academic papers containing the information on the organism so that his research is based on comprehensive and accurate information. This series of activities often undermines research efficiency as it takes a lot of time and causes inconvenience on the part of researchers. To solve such inconvenience, we analyzed various methods for integrated search and chosen schema integration. In addition, we analyzed each databases and extracted metadata for designing schema integration. This paper introduces a biological information retrieval system(BIRS) using schema integration and it's interface that will increase research efficiency for bioscience.

• Proceedings of the Korean Magnestics Society Conference
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• 2005.12a
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• pp.219-219
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• 2005

• Journal of Ecology and Environment
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• v.45 no.1
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• pp.72-77
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• 2021

Background: In 2020, a categorized list of wetland preferences, major habitats, and life forms of 4145 vascular plant taxa occurring in the Korean Peninsula was published by the National Institute of Biological Resources. We analyzed the list and explored the distribution patterns of the five categorized groups according to wetland preference, along with the information on the major habitats and the life forms of the plants belonging to those categories. Results: Out of 4145 taxa, we found that 729 wetland plant taxa (18%) occur in Korea: 401 obligate wetland plants and 328 facultative wetland plants. Among the 729 wetland taxa, the majority (73%) was hygrophytes and the remaining 27% was aquatic macrophytes. Furthermore, almost all of the wetland taxa are herbs; so, woody plants are only 4.7%. The 16 carnivorous taxa distributed in Korea were characterized as obligate wetland plants. Conclusions: We expect the categorized information would promote understanding of the characteristics of the plant species and would be an important source for understanding, conservation, and restoration of wetland ecosystems.

• 한국전산유체공학회:학술대회논문집
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• 2006.05a
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• pp.149-149
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• 2006

• Proceedings of the Zoological Society Korea Conference
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• 2003.08a
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• pp.184.4-184
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• 2003

No Abstract, See Full Text

• Journal of Species Research
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• v.13 no.2
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• pp.127-130
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• 2024

The first complete mitogenome sequence of the Red-tongue Pit Viper (Gloydius ussuriensis) from Korea was characterized using next-generation sequencing. The mitogenome is a circular molecule (17,209 bp) with a typical vertebrate mitogenome arrangement, which consists of 2 ribosomal RNA genes (rRNA), 22 transfer RNA genes (tRNA), two non-coding regions (D-loop), and 13 protein-coding genes (PCGs). The base composition of the mitogenome is 32.7% of A, 27.5% of C, 13.9% of G, and 25.9% of T, with a slight AT bias(58.6%). This phylogenetic analysis infers that G. ussuriensis is in the same group as the Chinese G. ussuriensis (Accession No. KP262412) and is closely related to G. blomhoffi and other species of the genus Gloydius. In our study, the complete mitogenome sequence of Korean G. ussuriensis was characterized and we provided basic genetic information on this species.