• 식물분류학회지
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• 제53권3호
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• pp.230-236
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• 2023

Rhododendron caucasicum Pall. is a shrub distributed in the mountainous areas of the Caucasus from northeastern Türkiye towards the Caspian Sea. This study reports the first complete chloroplast genome sequence of R. caucasicum. The plastome is 199,487 base pairs (bp) long and exhibits a typical quadripartite structure comprising a large single-copy region of 107,645 bp, a small single-copy region of 2,598 bp, and a pair of identical inverted repeat regions of 44,622 bp each. It contains 143 genes, comprising 93 protein-coding genes, 42 tRNA genes, and eight rRNA genes. The large chloroplast genome size is likely due to the expansion of inverted repeats. A phylogenetic analysis of chloroplast genomes with other Rhododendron species supports previously recognized infrageneric relationship.

• Animal Systematics, Evolution and Diversity
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• 제40권2호
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• pp.147-149
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• 2024

We report the complete mitochondrial genome sequence of endangered yellow-throated marten, Martes flavigula. The complete mitochondrial genome of M. flavigula is 16,555 bp in length. We identified 13 protein coding genes, 22 transfer RNA, two ribosomal RNA, and one control region. The mitogenome is A+T rich, with a composition of 31.3% A, 28.7% C, 13.0% G, and 27.0% T. According to phylogenetic analysis based on mitochondrial complete genomes, Martes flavigula in the subgenus Charronia was clearly distinct from the subgenus Martes. This phylogeny of the genus Martes supports the conventional systematic treatment. The genetic and taxonomic analysis in this study provides necessary information for the future studies of yellow-throated marten and the Mustelidae family.

• Journal of Plant Biotechnology
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• 제37권2호
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• pp.115-124
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• 2010

As the completion of genome sequencing, large collection of expression data and the great efforts in annotating plant genomes, the next challenge is to systematically assign functions to all predicted genes in the genome. Functional genome analysis of plants has entered the high-throughput stage. The generations and collections of mutants at the genome-wide level form technological platform of functional genomics. However, to identify the exact function of unknown genes it is necessary to understand each gene's role in the complex orchestration of all gene activities in the plant cell. Gene function analysis therefore necessitates the analysis of temporal and spatial gene expression patterns. The most conclusive information about changes in gene expression levels can be gained from analysis of the varying qualitative and quantitative changes of messenger RNAs, proteins and metabolites. New technologies have been developed to allow fast and highly parallel measurements of these constituents of the cell that make up gene activity. We have reviewed currently employed technologies to identify unknown functions of predicted genes including map-based cloning, insertional mutagenesis, reverse genetics, chemical mutagenesis, microarray analysis, FOX-hunting system, gene silencing mutagenesis, proteomics and chemical genomics. Recent improvements in technologies for functional genomics enable whole-genome functional analysis, and thus open new avenues for studies of the regulations and functions of unknown genes in plants.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제2권2호
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• pp.97-106
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• 2013

인간 게놈 프로젝트의 완성 이후 유전체 분석 비용은 매우 빠르게 감소하고 있다. 이에 따라 인간 유전체 분석 요구가 급증할 것으로 예상된다. 인간 유전체 분석과 같은 대규모 바이오 데이터 분석을 고속으로 수행하기 위해서는 비IT 전문가들이 다양한 특성의 바이오 응용들을 고성능컴퓨팅 시스템을 통해 효과적으로 실행할 수 있어야 한다. 이를 위해서는 여러 응용들이 조합되어 순서를 갖고 실행되어야 하는 바이오 응용들을 워크플로우 형태로 쉽게 정의할 수 있어야 하며, 이 워크플로우를 HPC 클러스터 시스템에서 최적 자원을 할당 받아 분산 병렬 수행시켜야 한다. 이를 통해 바이오 데이터 분석 성능과 응답시간의 개선을 기대할 수 있다. 본 논문에서는 HPC 환경에 익숙하지 않은 비IT 바이오 연구자들이 쉽게 바이오 데이터 분석을 할 수 있도록 바이오 워크플로우를 쉽게 정의하고 실행할 수 있는 바이오 특화된 워크플로우 기반 대규모 데이터 분석 시스템을 제안한다.

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2006년도 The 15th Korean Genome Organization Conference KOGO 2006 Annual Meeting
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• pp.31-31
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• 2006

• The Plant Pathology Journal
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• 제17권6호
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• pp.391.1-391
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• 2001

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2002년도 The 11th Korea Genome Conference
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• pp.30-30
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• 2002

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2004년도 The 13th Korea Genome Conference
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• pp.34.1-34.1
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• 2004

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2005년도 The 14th Korea Genome Conference
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• pp.32-32
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• 2005

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2005년도 The 14th Korea Genome Conference
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• pp.78-78
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• 2005