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갈륨액체금속 이온원과 인듐액체금속 이온원의 빔 특성에 대한 연구
현정우,임연찬,정강원,정원희,박철우,이종향,강승언 한국공작기계학회 2005 한국공작기계학회 춘계학술대회논문집 Vol.2005 No.-
본 연구에서는 인듐 액체금속이온원을 제작하여 빔 특성에 대해 연구를 하였으며, 기존에 연구를 하였던 갈륨 액체금속이온원의 빔특성과 비교 분석 하였다. 빔특성 분석을 위해 빔 안정도, 전류-전압특성곡선, 에너지 퍼짐을 측정하였다. 액체금속이온원에 사용되는 액체금속 저장소 및 바늘전극(tip)은 500μm의 직경을 갖는 텅스텐을 사용하였으며, 국내에서 제작된 제품을 사용하였다. 액체금속 저장소의 구조는 이전에 구상하여 연구가 이루어진 6개의 pre-etching된 텅스텐와이어(wire)가 묶여진 형태를 사용하였다.
프랙탈변환 방법에 의한 컬러 영상 압축에서의 최적 컬러축약률 및 범위 이동
명연수,이상훈,이형원,임철홍 인제대학교 1993 仁濟論叢 Vol.9 No.2
프랙탈변환을 이용하여 256가지 색을 가진 영상을 압축하는 모사 실험을 수행하였다. 영역의 크기, 컬러축약률,범위 이동치 변화에 따른 압축 영상의 평균 강도 차를 비교하여 최적 압축 조건을 조사하였다. By using the fractal transform we perform the simulations that compress the 256-color real world images. The optimal compression conditions are examined by comparing the compressed images resulting from the variations of the size of domain, ratio of color contraction and range-shift.
Gene expression analysis based on de novo assembly in wheat RNA-sequencing
Won Cheol Yim,KiTae Song,Byung-Moo Lee 한국육종학회 2012 한국육종학회 심포지엄 Vol.2012 No.07
Wheat is the third largest crop in the world behind corn and rice. Wheat is grown over a wide range of environments, and an essential source of carbohydrates. However, the genomics of wheat, a non-model species, is still challenging despite of corn and rice was done. The recent advent of RNA-Sequencing, a massively parallel sequencing method for genome and transcriptome analysis, provides opportunity to identify gene discovery and molecular mechanisms of cellular processes. We performed a RNA-Seq experiment to find differentially expressed genes under high temperature condition. More than 344 million shot reads were generated using Illumina HiSeq technology. A comprehensive and integrated 285,324 transcripts were assembled via Trinity by combining tentative consensus sequences. Transcripts annotated by BLAST2Go and differently expressed transcripts were analyzed. A total of 208 up-regulated and 182 down-regulated transcripts were found that involve in plastid, starch and sucrose metabolism, glycerolipid metabolism and glycerolipid and dicarboxylate metabolism. Our results demonstrate that RNA-Seq can be successfully used for gene identification, transcript profiling in wheat. Furthermore these sequences will provide valuable resources for wheat researchers.
Identification of tentative hub genes of biochemical pathways via a survey in silico analysis
Won Cheol Yim,Cheol Seong Jang,Byung-Moo Lee 한국작물학회 2008 한국작물학회 학술발표대회 논문집 Vol.2008 No.10
Most gene functions of biochemical pathways were still unexplored, especially interactions of constituent genes. We attempted to uncover interaction network of biochemical pathways via a survey of co-expression clusters, which we have constructed from the NCBI GEO database, and then to define key genes of networks with expression correlations between members. Top 20 pathways with high numbers of individual genes were retrieved from 178 pathways. One pathway, ‘removal of superoxide radicals’ was excluded for further study, evidencing somewhat low degree (16%, 13 out of 79 genes) of mapped probes. We employed expression correlations of random pairs of 1,000 randomly selected genes for determining a cut off r-value for gene networks. Numbers of interactions with a significant expression correlation values between members might evidence that “hub genes” play key roles among a given pathway genes. For example most interactive pathway, ‘tRNA charging pathway’, that is composed of 60 probes corresponding to genes showed 264 positive significant interactions between members of 47 genes while 5 negative interactions between members of 7 genes., evidencing ‘Os10g26050’ (methionyl-tRNA synthetase) gene with highest interactions is suggestive of a hub gene. These findings might provide some clues on evolutionary fate of co-expression genes including each of biochemical pathways, e.g. convergent evolution
A Genome-wide Approach for Functional Analysis Using Rice Mutant
Yim, Won-Cheol,Kim, Dong-Sub,Moon, Jun-Cheol,Jang, Cheol-Seong,Lee, Byung-Moo The Korean Society of Crop Science 2009 Korean journal of crop science Vol.54 No.3
Rapid extension of genomic database leads to the remarkable advance of functional genomics. This study proposes a novel methodology of functional analysis using 5-methyltrytophan (5 MT) mutant together with their 2-DE analysis and public microarray database. A total of 24 proteins was changed in 5 MT mutant and four remarkably different expressed proteins were identified. Among them, three spots were converted to Affymetrix probe. A total of 155 microarray samples from Gene Expression Omnibus (GEO) in NCBI was retrieved and followed by constructing gene co-expression networks over a broad range of biological issues through Self-Organising Tree Algorithm. Three co-expressing gene clusters were retrieved and each functional categorization with differential expression pattern was exhibited from 5 MT resistance mutant rice. It was indicated new co-expression networks in the mutant. This study suggests that on investigating possibility which correspond 2-DE to microarray database with their full potential.
Identification of the Housekeeping Genes Using Cross Experiments via in silico Analysis
Yim, Won-Cheol,Keum, Chang-Won,Kim, Sae-Hwan,Jang, Cheol-Seong,Lee, Byung-Moo The Korean Society of Crop Science 2010 Korean journal of crop science Vol.55 No.4
For sensitive and accurate gene expression analysis, normalization of gene expression data against housekeeping genes is required. There are conventional housekeeping gene (e.g. ACT) that primarily function as an internal control of transcription. In this study, we performed an in silico analysis of 278 rice gene expression samples (GSM) in order to identify the gene that is most consistently expressed. Based on this analysis, we identified novel candidate housekeeping genes that displayed improved stability among the cross experimental conditions. Furthermore four of the most conventional housekeeping genes were included in our 30 other housekeeping genes among the most stable genes. Therefore, these 30 genes can he used to normalize transcription results in gene expression studies on rice at a broad range of experimental conditions.
Identification of the Housekeeping Genes Using Cross Experiments via in silico Analysis
Won Cheol Yim,Changwon Keum,Saehwan Kim,장철성,이병무 한국작물학회 2010 Korean journal of crop science Vol.55 No.4
For sensitive and accurate gene expression analysis, normalization of gene expression data against housekeeping genes is required. There are conventional housekeeping gene (e.g. ACT) that primarily function as an internal control of transcription. In this study, we performed an in silico analysis of 278 rice gene expression samples (GSM) in order to identify the gene that is most consistently expressed. Based on this analysis, we identified novel candidate housekeeping genes that displayed improved stability among the cross experimental conditions. Furthermore four of the most conventional housekeeping genes were included in our 30 other housekeeping genes among the most stable genes. Therefore, these 30 genes can be used to normalize transcription results in gene expression studies on rice at a broad range of experimental conditions.