• Title, Summary, Keyword: 차세대염기서열분석법

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Applications of Next-Generation Sequencing Technology based on Liquid Biopsy for Solid Tumor (고형암에서 액체 생검 기반의 차세대염기서열분석법 응용 기술)

  • Kim, Jin-Hee
    • Proceedings of the Korea Contents Association Conference
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    • pp.469-470
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    • 2019
  • 차세대염기서열분석법(NGS, Next Generation Sequencing) 기술은 하나의 유전체를 무수히 많은 조각으로 분해하여 각 조각을 동시에 읽어낸 뒤, 전산기술을 이용하여 조합함으로써 방대한 유전체 정보를 빠르게 해독하는 방법이다. 한편, 액체 생검(LB, liquid biopsy)이란 암세포가 깨지면서 생기는 미량의 DNA 조각을 말초혈액 속에서 찾아내 암을 진단하는 기술로 조직 생검(tissue biopsy)에 비해 비침습적이다. 본 논문은 NGS와 LB 기술을 접목했을 때 확진이 가능하고 예후 및 치료경과의 예측이 가능함을 제언하였다.

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Development and Genetic Diversity Analysis of Microsatellite Markers Using Next-generation Sequencing in Seriola quinqueradiata (차세대 염기서열 분석법을 이용한 방어(Seriola quinqueradiata)의 microsatellite 마커의 개발 및 유전적 특성 분석)

  • Dong, Chun Mae;Lee, Mi-Nan;Kim, Eun-Mi;Park, Jung Youn;Kim, Gun-Do;Noh, Jae Koo
    • Journal of Life Science
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    • v.30 no.3
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    • pp.291-297
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    • 2020
  • This study was conducted to develop microsatellite markers in Seriola quinqueradiata using next-generation sequencing. A total of 28,873,374 reads were generated on an Illumina Hiseq2500 system, yielding 7,247,216,874 bp sequences. The de novo assembly resulted in 466,359 contigs. A total of 132 contigs (0.43%), including 60 microsatellite loci, were derived from 30,729 contigs longer than 518 bp. A total of 60 primer sets were designed from the 132 microsatellite loci. A total of 15 polymorphic nuclear microsatellite loci were chosen to evaluate population genetic parameters in the parents and offspring. The mean number of effective alleles was 18.5, ranging from 11 to 30. The observed heterozygosity (HO) and expected heterozygosity (HE) ranged between 0.431 and 0.972 with an average of 0.812 and from 0.782 to 0.949 with an average of 0.896, respectively. No significant linkage disequilibrium was observed after Bonferroni revision in any loci. The results show that the 15 polymorphic nuclear microsatellite markers can be used to study the population and conservation genetics of S. quinqueradiata in Korea. To ensure the success of artificial seedling production technology, genetic variations between the parent and offspring populations should be monitored, and inbreeding should be controlled.

Comparison between DNA- and cDNA-based gut microbial community analyses using 16S rRNA gene sequences (16S rRNA 유전자 서열 분석을 이용한 DNA 및 cDNA 기반 장내 미생물 군집 분석의 비교)

  • Jo, Hyejun;Hong, Jiwan;Unno, Tatsuya
    • Korean Journal of Microbiology
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    • v.55 no.3
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    • pp.220-225
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    • 2019
  • Studies based on microbial community analyses have increased in the recent decade since the development of next generation sequencing technology. Associations of gut microbiota with host's health are one of the major outcomes of microbial ecology filed. The major approach for microbial community analysis includes the sequencing of variable regions of 16S rRNA genes, which does not provide the information of bacterial activities. Here, we conducted RNA-based microbial community analysis and compared results obtained from DNA- and its cDNA-based microbial community analyses. Our results indicated that these two approaches differed in the ratio of Firmicutes and Bacteroidetes, known as an obesity indicator, as well as abundance of some key bacteria in gut metabolisms such as butyrate producers and probiotics strains. Therefore, cDNA-based microbial community may provide different insights regarding roles of gut microbiota compared to the previous studies where DNA-based microbial community analyses were performed.

Development of HLA-A, -B and -DR Typing Method Using Next-Generation Sequencing (차세대염기서열분석법을 이용한 HLA-A, -B 그리고 -DR 형별 분석법 개발)

  • Seo, Dong Hee;Lee, Jeong Min;Park, Mi Ok;Lee, Hyun Ju;Moon, Seo Yoon;Oh, Mijin;Kim, So Young;Lee, Sang-Heon;Hyeong, Ki-Eun;Hu, Hae-Jin;Cho, Dae-Yeon
    • The Korean Journal of Blood Transfusion
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    • v.29 no.3
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    • pp.310-319
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    • 2018
  • Background: Research on next-generation sequencing (NGS)-based HLA typing is active. To resolve the phase ambiguity and long turn-around-time of conventional high resolution HLA typing, this study developed a NGS-based high resolution HLA typing method that can handle large-scale samples within an efficient testing time. Methods: For HLA NGS, the condition of nucleic acid extraction, library construction, PCR mechanism, and HLA typing with bioinformatics were developed. To confirm the accuracy of the NGS-based HLA typing method, the results of 192 samples HLA typed by SSOP and 28 samples typed by SBT compared to NGS-based HLA-A, -B and -DR typing. Results: DNA library construction through two-step PCR, NGS sequencing with MiSeq (Illumina Inc., San Diego, USA), and the data analysis platform were established. NGS-based HLA typing results were compatible with known HLA types from 220 blood samples. Conclusion: The NSG-based HLA typing method could handle large volume samples with high-throughput. Therefore, it would be useful for HLA typing of bone marrow donation volunteers.

Soil Bacterial Community in Red Pine Forest of Mt. Janggunbong, Bonghwa-Gun, Gyeongbuk, Korea, Using Next Generation Sequencing (차세대염기서열방법을 이용한 경북 봉화군 장군봉 소나무림의 토양 박테리아 군집 구성)

  • Lee, Byeong-Ju;Eo, Soo Hyung
    • Journal of Korean Society of Forest Science
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    • v.106 no.2
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    • pp.121-129
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    • 2017
  • The soil microbiome plays important roles in material cycling and plant growth in forest ecosystem. Although a lot of researches on forest soil fungi in Korea have been performed, the studies on forest soil bacterial communities have been limited. In this study, we conducted next generation sequencing (NGS) targeting 16S rRNA gene to investigate the soil bacterial communities from natural red pine (Pinus densiflora) forest in Mt. Janggunbong, Bonghwa-gun, Gyeongbuk, Korea. Our results showed that the entire bacterial communities in the study sites include the phyla Proteobacteria, Acidobacteria, Actinobacteria, Planctomycetes, which have been typically observed in forest soils. The composition ratio of Proteobacteria was the highest in the soil bacteria community. The results reflect that Proteobacteria is copiotroph, which generally favors relatively nutrient-rich conditions with abundant organic matter. Some rhizobia species such as Burkholderia, Bradyrhizobium, Rhizobium, which are known to contribute to soil nitrogen-fixation, exist in the study sites. As a result of correlation analysis between soil physicochemical characteristics and bacteria communities, the soil pH was significantly correlated with the soil bacteria compositions.

An Efficient Parallelization Mechanism for Preprocessing of Genome Sequence Data on HPC environment (고성능 클러스터와 분산 병렬 파일 시스템을 이용한 유전체데이터 전처리 작업의 효율적인 병렬화 기법)

  • Byun, Eun-Kyu;Mun, Ji-hyeob;Kwak, Jae-Hyuck
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.50-53
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    • 2018
  • 차세대 염기서열 분석법이 생성한 유전체 원시 데이터를 기존의 방식대로 하나의 서버에서 분석하기 위해서는 수십 시간이 필요할 수 있고 이러한 시간을 최대한 줄여야 하는 응급 상황도 존재한다. 따라서 본 연구에서는 고속의 네트워크로 연결되고 병렬 파일 시스템을 공유하는 서버 클러스터를 활용하여 분석 시간을 크게 단축 시킬 수 있는 유전체 데이터 분석의 전처리 프로세스의 병렬화 방법을 제안한다. 기존의 검증된 분석도구를 기반으로 프로세스의 병렬화, 데이터의 분배 및 병렬 병합 기법을 개발하였고 실험을 통해 성능을 향상 시킬 수 있음을 증명하였다.

Imputation Accuracy from 770K SNP Chips to Next Generation Sequencing Data in a Hanwoo (Korean Native Cattle) Population using Minimac3 and Beagle (Minimac3와 Beagle 프로그램을 이용한 한우 770K chip 데이터에서 차세대 염기서열분석 데이터로의 결측치 대치의 정확도 분석)

  • An, Na-Rae;Son, Ju-Hwan;Park, Jong-Eun;Chai, Han-Ha;Jang, Gul-Won;Lim, Dajeong
    • Journal of Life Science
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    • v.28 no.11
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    • pp.1255-1261
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    • 2018
  • Whole genome analysis have been made possible with the development of DNA sequencing technologies and discovery of many single nucleotide polymorphisms (SNPs). Large number of SNP can be analyzed with SNP chips, since SNPs of human as well as livestock genomes are available. Among the various missing nucleotide imputation programs, Minimac3 software is suggested to be highly accurate, with a simplified workflow and relatively fast. In the present study, we used Minimac3 program to perform genomic missing value substitution 1,226 animals 770K SNP chip and imputing missing SNPs with next generation sequencing data from 311 animals. The accuracy on each chromosome was about 94~96%, and individual sample accuracy was about 92~98%. After imputation of the genotypes, SNPs with R Square ($R^2$) values for three conditions were 0.4, 0.6, and 0.8 and the percentage of SNPs were 91%, 84%, and 70% respectively. The differences in the Minor Allele Frequency gave $R^2$ values corresponding to seven intervals (0, 0.025), (0.025, 0.05), (0.05, 0.1), (0.1, 0.2), (0.2, 0.3). (0.3, 0.4) and (0.4, 0.5) of 64~88%. The total analysis time was about 12 hr. In future SNP chip studies, as the size and complexity of the genomic datasets increase, we expect that genomic imputation using Minimac3 can improve the reliability of chip data for Hanwoo discrimination.

Parallelization of Genome Sequence Data Pre-Processing on Big Data and HPC Framework (빅데이터 및 고성능컴퓨팅 프레임워크를 활용한 유전체 데이터 전처리 과정의 병렬화)

  • Byun, Eun-Kyu;Kwak, Jae-Hyuck;Mun, Jihyeob
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.10
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    • pp.231-238
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    • 2019
  • Analyzing next-generation genome sequencing data in a conventional way using single server may take several tens of hours depending on the data size. However, in order to cope with emergency situations where the results need to be known within a few hours, it is required to improve the performance of a single genome analysis. In this paper, we propose a parallelized method for pre-processing genome sequence data which can reduce the analysis time by utilizing the big data technology and the highperformance computing cluster which is connected to the high-speed network and shares the parallel file system. For the reliability of analytical data, we have chosen a strategy to parallelize the existing analytical tools and algorithms to the new environment. Parallelized processing, data distribution, and parallel merging techniques have been developed and performance improvements have been confirmed through experiments.