• 제목/요약/키워드: Biological Data

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New records of the genus Cyanobium and Cyanobium gracile (Synechococcales, Cyanophyceae) in Korean freshwater

  • Kwon, Dae Ryul;Jo, Bok Yeon;Jang, Seok Won;Lee, Chang Soo;Nam, Seung Won
    • Korean Journal of Environmental Biology
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    • 제39권1호
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    • pp.32-38
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    • 2021
  • Cyanobium is a genus of picoprokaryotic cyanophytes, which includes species worldwide. The present study investigated the morphology, ultrastructure, and molecular phylogeny of the unrecorded genus Cyanobium Rippka & Cohen-Bazire 1983 and species Cyanobium gracile Rippka & Cohen-Bazire 1983. A C. gracile culture from a freshwater sample collected from the Adongji pond was established by single-cell isolation. Morphological data were analyzed using light and transmission electron microscopy. C. gracile lives as solitary cells without gelatinous envelopes and is ovate, oval, or shortly rod-shaped. Thylakoids are laid along the cell walls, with three thylakoid membranes parallel to each other. Nucleoplasm was observed in the center of the cell. Molecular phylogeny performed with data from 16S small subunit ribosomal DNA gene (SSU rDNA) sequences showed that the three strains of C. gracile, including the type strain (PCC6307) and a newly recorded strain (Adong101619), formed a distinct clade with a high supporting value (maximum-likelihood=100, pp=1.00). Based on morphology and molecular data, we report the newly recorded C. gracile in Korea.

Taxonomic Position and Affinities of Isopyrum mandshuricum within Korean Isopyroideae (Ranunculaceae) Based on Molecular Data

  • Lee, Nam-Sook;Yeau, Sung-Hee;Kim, Ji-Hyun;Kim, Min-Ju
    • Animal cells and systems
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    • 제3권2호
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    • pp.133-141
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    • 1999
  • To examine the taxonomic position and affinities of Isopyrum mandshuricum (Ranunculaceae) and related taxa, genetic analysis were carried out on the basis of isozyme patterns and ITS sequences. Molecular data, both isozyme patterns and ITS sequences suggest that I. mandshuricum is closely related to Enemion raddeanum than to Semiaquilegia adoxoides. The estimation of genetic identities by isozyme analysis reveals that I. manshuricum is genetically distant from E. raddeanum. The phylogenetic tree based on molecular data is rather congruent with the phenogram based on quantitative morphological characteristics, but not consistent with one based on qualitative morphological characteristics. Incongruencies between molecular and qualitative morphological data provide clues to re-evaluate several morphological features.

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The Effects of Physiological Heating and Exercise on the Optical Properties of Biological Tissue. (가열과 운동에 의한 생체조직내의 생리적 변화에 따른 광학적 특성의 변화에 관한 연구)

  • Lim, Hyun-Soo;Huh, Woong
    • Journal of Biomedical Engineering Research
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    • 제14권1호
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    • pp.81-88
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    • 1993
  • This paper is the study of the reflectance of light from biological tissue for red and Infrared wavelengths and relates the acquired reflectance data to expected physiological changes within the skin and muscle layers associated with heat and exercise. The instrument was disigned to collect data from the calf muscle in human subjects with probe located at the surface of skin. Rapid data acquisition method allowed monitoring of rapid changes in reflecttance due to a stimulus. This study demonstrates that changes in O2 saturation and blood fractional volume expected within the dermis and muscle layers were asserted by examining the slopes of the plotted index for heat and exercise. The results presented in thls study support the claim that reflectance can separately discriminate between changes of blood volume and oxygenation in muscle and in skin. The data demonstrate the ability to measure consistent changes In tissue optical properties during exercise and heat.

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Challenges and New Approaches in Genomics and Bioinformatics

  • Park, Jong Hwa;Han, Kyung Sook
    • Genomics & Informatics
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    • 제1권1호
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    • pp.1-6
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    • 2003
  • In conclusion, the seemingly fuzzy and disorganized data of biology with thousands of different layers ranging from molecule to the Internet have refused so far to be mapped precisely and predicted successfully by mathematicians, physicists or computer scientists. Genomics and bioinformatics are the fields that process such complex data. The insights on the nature of biological entities as complex interaction networks are opening a door toward a generalization of the representation of biological entities. The main challenge of genomics and bioinformatics now lies in 1) how to data mine the networks of the domains of bioinformatics, namely, the literature, metabolic pathways, and proteome and structures, in terms of interaction; and 2) how to generalize the networks in order to integrate the information into computable genomic data for computers regardless of the levels of layer. Once bioinformatists succeed to find a general principle on the way components interact each other to form any organic interaction network at genomic scale, true simulation and prediction of life in silico will be possible.

Web Program for Laboratory Animal Group Separation Based on Biological Characteristics (생체지표를 활용한 웹기반의 실험동물 군(郡) 분리 프로그램)

  • Kim, Chang-Hwan;Lee, Dae-Sang
    • KSBB Journal
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    • 제27권1호
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    • pp.40-44
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    • 2012
  • The laboratory animal group separation is dividing animal population into subgroups, which have similar average and standard deviation values among the subgroups, based on the biological characteristics such as body weight, glucose level in blood, etc. Although group separation is very important and initial step in experimental design, it needs a labor intensive process for researchers because of making similar average and standard deviation values among the subgroups using the raw biological characteristics. To reduce the labor cost and increase the efficiency of animal grouping, we developed a web program named as laboratory animal group separation (LAGS) program. This LAGS uses biological characteristics of population, number of group, and the number of elements per each subgroup as input data. The LAGS automatically separates the population into each subgroup that has similar statistical data such as average and standard deviation values among subgroups. It also provides researchers with the extraordinary data generated in the process of grouping and the final grouping results by graphical display. Through our LAGS, researchers can validate and confirm results of laboratory animal group separation by just a few mouse clicks.

Development of a Data Reference Model for Joint Utilization of Biological Resource Research Data (생물자원 연구데이터의 공동 활용을 위한 데이터 참조모델 개발)

  • Kwon, Soon-chul;Jeong, Seung-ryul
    • Journal of Internet Computing and Services
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    • 제19권4호
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    • pp.135-150
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    • 2018
  • The biological resources research data around the world are not only very critical themselves but should be shared and utilized. Up to now, the biological resources have been compiled and managed individually depending on the purpose and characteristics of the study without any clear standard. So, in this study, the data reference model would be suggested which is applicable in the phase ranging from the start of the construction of the information system and which can be commonly used. For this purpose, the data model of the related information system would be expanded based on the domestic and foreign standards and data control policy so that the data reference model which can be commonly applicable to individual information system would be developed and its application procedure would be suggested. In addition, for the purpose of proving the excellence of the suggested data reference model, the quality level would be verified by applying the Korgstie's data model evaluation model and its level of data sharing with the domestic and foreign standards would be compared. The test results of this model showed that this model is better than the conventional data model in classifying the data into 4 levels of resources, target, activities and performances and that it has higher quality and sharing level of data in the data reference model which defines the derivation and relation of entity.

A Study of Elementary Students학 Concepts on Biological Adaptation (초등학생들이 가진 생물학적 적응 개념에 관한 조사 연구)

  • 이용주;심미숙
    • Journal of Korean Elementary Science Education
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    • 제23권2호
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    • pp.101-109
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    • 2004
  • The purpose of this research is to provide useful data in forming sound scientific concepts by investigating elementary students' non-scientific concepts related to their concepts of biological adaptation, and by analyzing the general inclinations and causes of some misconceptions. Twenty-four objective questions were designed to be given to 5th and 6th grade elementary students in order to investigate their concepts of biological adaptation. According to the test results, they formed scientific concepts in most questions. But they appeared to have many misconceptions in some parts which should be guided by the teacher's additional explanations rather than by the education curricula's focus. There are some cases where the 6th grade students had more misconceptions than the 5th grade students who were not systemically taught the concepts of biological adaptation, for the reasons of strengthening or maintaining the misconceptions by confusing the contents of learning. Male and female students have different scientific concepts of different questions according to their interest and attention. Therefore, it is necessary to develop various teaching-learning data which can help the teachers' additional explanations about the concepts of biological adaptation and invoke students' interest and attention, and to seek appropriate measures to form sound scientific concepts among teachers as well as students.

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Development of Acquisition System for Biological Signals using Raspberry Pi (라즈베리 파이를 이용한 생체신호 수집시스템 개발)

  • Yoo, Seunghoon;Kim, Sitae;Kim, Dongsoo;Lee, Younggun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제25권12호
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    • pp.1935-1941
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    • 2021
  • In order to develop an algorithm using deep learning, which has been recently applied to various fields, it is necessary to have rich, high-quality learning data. In this paper, we propose an acquisition system for biological signals that simultaneously collects bio-signal data such as optical videos, thermal videos, and voices, which are mainly used in developing deep learning algorithms and useful in derivation of information, and transmit them to the server. To increase the portability of the collector, it was made based on Raspberry Pi, and the collected data is transmitted to the server through the wireless Internet. To enable simultaneous data collection from multiple collectors, an ID for login was assigned to each subject, and this was reflected in the database to facilitate data management. By presenting an example of biological data collection for fatigue measurement, we prove the application of the proposed acquisition system.

Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on In Silico Modeling of Published Data

  • Shin, Ga Hee;Kang, Byeong-Chul;Jang, Dai Ja
    • Genomics & Informatics
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    • 제14권4호
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    • pp.222-229
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    • 2016
  • Kimchi is a traditional Korean food prepared by fermenting vegetables, such as Chinese cabbage and radishes, which are seasoned with various ingredients, including red pepper powder, garlic, ginger, green onion, fermented seafood (Jeotgal), and salt. The various unique microorganisms and bioactive components in kimchi show antioxidant activity and have been associated with an enhanced immune response, as well as anti-cancer and anti-diabetic effects. Red pepper inhibits decay due to microorganisms and prevents food from spoiling. The vast amount of biological information generated by academic and industrial research groups is reflected in a rapidly growing body of scientific literature and expanding data resources. However, the genome, biological pathway, and related disease data are insufficient to explain the health benefits of kimchi because of the varied and heterogeneous data types. Therefore, we have constructed an appropriate semantic data model based on an integrated food knowledge database and analyzed the functional and biological processes associated with kimchi in silico. This complex semantic network of several entities and connections was generalized to answer complex questions, and we demonstrated how specific disease pathways are related to kimchi consumption.