• Title/Summary/Keyword: 유전체 분석

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Effective Analysis Of SNP Related Gastric Cancer Using SNP (SVM을 이용한 효율적인 위암관련 SNP 정보분석)

  • Kim Dong-Hoi;Kim Yu-Seop;Cheon Se-Hak;Cheon Se-Cheol;Ham Ki-Baek;Kim Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.05a
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    • pp.435-438
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    • 2006
  • Single Nucleotide Polymorphism(SNP)는 인간 유전자 서열의 0.1%에 해당하는 부분으로 이는 각 개인의 체질 및 각종 유전질환과 밀접한 관련이 있다고 알려져 있으며 이 SNP 정보를 이용 각종 질환의 유전적 원인규명에 대한 많은 생물학적 연구가 진행되고 있다. 그러나 아직 SNP를 이용한 효율적인 분석방법에 대한 전산학적 연구는 많지 않다. 본 논문에서는 대표적인 패턴인식기 중 하나인 Support Vector Machine(SVM)을 이용 한국인의 대표적인 유전질환으로 알려진 위암에 대한 예측율을 실험하였다. 실험 데이터는 간 및 소화기 질환 유전체 센터에서 얻어진 위 질환 환자를 대상으로 하였으며 실험 결과 예측율은 67.3%로 이는 Case Based Reasoning(CBR)방법의 55% 보다 더 좋은 예측 결과를 보였다.

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Improvement of SNPs detection efficient by reuse of sequences in Genotyping By Sequencing technology (유전체 서열 재사용을 이용한 Genotyping By Sequencing 기술의 단일 염기 다형성 탐지 효율 개선)

  • Baek, Jeong-Ho;Kim, Do-Wan;Kim, Junah;Lee, Tae-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2491-2499
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    • 2015
  • Recently, the most popular technique to determine the Genotype, genetic features of individual organisms, is the GBS based on SNP from sequences determined by NGS. As analyzing the sequences by the GBS, TASSEL is the most used program to identify the genotypes. But, TASSEL has limitation that it uses only the partial sequences that is obtained by NGS. We tried to improve the efficiency in use of the sequences in order to solve the limitation. So, we constructed new data sets by quality checking, filtering the unused sequences with error rate below 0.1% and clipping the sequences considering the location of barcode and enzyme. As a result, approximately over 17% of the SNP detection efficiency was increased. In this paper, we suggest the method and the applied programs in order to detect more SNPs by using the disused sequences.

A Genome-wide Association Study of Preferred Primal Cuts of Hanwoo Cattle Using Single-step GBLUP (한우 부분육 선호부위에 대한 ssGBLUP을 활용한 GWAS 분석)

  • Lee, Jae Gu;Park, Byoungho;Park, Mi Na;Alam, M.;Kim, Sidong;Do, Changhee;Choi, Tae Jeong
    • Journal of agriculture & life science
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    • v.50 no.3
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    • pp.99-117
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    • 2016
  • Data on primal cuts were collected from 1,829 steers of Hanwoo progeny testing programs, between 2010 and 2015 for the ssGWAS. SNP data were analyzed by using Illumina Bovine 50K Beadchip. The SNP data that matches with phenotype data was 674 animals. As a first step, the genomic estimated breeding value(GEBV) of the loin and rib cuts were estimated, which was used in the estimation of SNP marker effects and their variances related to the traits. Then, the estimated variance explained by each marker was expressed as a proportion to the total genetic variance. Finally, the SNP loci and their significance to any possible QTL were examined. Among the 20 best SNP loci explaining a larger proportion of SNP variance to the total genetic variance for tender loin yield, the region between 12,812,193 ~ 12,922,313bp on BTA 10 harbored a cluster of SNPs that explained about 7.32 to 7.34% of the total genetic variance. For strip loin yield, a peak for higher effects for multiple SNPs was found in BTA24, between 38,158,543 and 38,347,278bp distances, which explained about 8.36 to 8.56% of the observed variance for this trait. For loin yield had relatively smaller effects in terms of the total genetic variance. Therefore, loin yield might be affected by a few loci with moderate effects and many other loci with smaller effects across the genome.

Transcriptome visualization framework development (전사체 시각화 프레임워크 개발)

  • Hwang, HyeRyeon;Kim, Sora;Cho, Hwan-Gue
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1340-1343
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    • 2012
  • 정보의 시각화는 추상적 정보를 직관적으로 이해하기 쉽도록 시각적으로 명확하게 표현하는 방법을 말한다. 대용량의 바이오 데이터를 다루는 생물정보학(bioinformatics) 분야에서는 컴퓨터의 높은 성능을 활용하여 수많은 유전학적 데이터들을 분석하고 있다. 다양한 생물정보학 실험에서 전사체는 특정한 조건에서 발현된 RNA의 총합을 말한다. 분석된 전사체 정보는 텍스트형태로 제공이 되는데 이를 사용자가 수작업으로 비교하는 데에는 한계가 있다. 따라서 분석된 전사체 정보를 효과적으로 인지할 수 있도록 시각화하는 연구들이 진행되고 있다. 본 논문에서는 그래프 라이브러리인 yFile을 활용하여 추정된 전사체를 실시간으로 시각화하여 제공하는 방법을 제안한다. GTF파일을 입력받아서 데이터베이스에 저장하고 이 정보를 이용하여 그래프를 생성한다. 실험 결과는 전사체를 시각화 하는 방법을 통하여 다양한 전사체 정보를 알아 낼 수 있고, 최종적으로는 novel gene을 찾는 것이 가능할 것으로 기대한다.

In vitro Plant Regeneration and Genetic Stability of the Regenerants in Wolly Grass (Imperata cylindrica 'Rubra') (홍띠(Imperata cylindrica 'Rubra') 기내식물체 재생과 재분화 식물체의 유전적 안정성)

  • In-jin Kang;Ye-Jin Lee;Chang-Hyu Bae
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2020.08a
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    • pp.37-37
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    • 2020
  • 홍띠(Imperata cylindrica 'Rubra') 식물자원의 생장점 부위를 기내 배양하여 기내 식물체 재분화와 재분화식물체의 유전적 안정성을 검토하였다. 기내배양은 26±2 ℃, 25 μmol/m2/s, 14h/10h (day/night) 광조건 하의 배양실에서, MS (Murashige and Skoog, 1962) 기본배지에 생장조절물질을 첨가하여 조직절편체로부터 식물체를 유도하였다. 캘러스는 MS기본배지에 0.1 mg/L의 2,4-D와 2 mg/L의 BA를 혼용처리하여 생장점 부위로부터 유도하였다. 캘러스 증식은 MS기본배지에 0.1 mg/L의 2,4-D를 첨가한 배지에서, 이들 캘러스로부터 신초 재분화는 0.01 mg/L의 NAA 및 2 mg/L의 BA를 첨가한 배지에서 유도하였다. 다경줄기 형성(multiple shooting) 후 MS배지에서 4주 동안 배양한 재분화식물체는 멸균한 상토(버미큘라이트)를 포함한 배양병에서 7주간 배양한 다음 점차적으로 배양병 뚜껑을 개방(1/10 정도 1차 개방 1주일, 3/10 정도 2차 개방 2주일)하여 직경 6 cm의 컵포트에 이식하여 활착시켰다. 재분화식물체는 붉은색이 사라지고 녹색을 나타내었으며, 일부개체에서만 잎의 일부분만 붉은색을 나타냈다. 이는 생장점 주변조직에서 유래한 재분화체가 우세함으로써 생장점보다는 생장점 주변의 조직을 구성하는 녹색층에서 주로 식물체가 재생되는 것으로 판단된다. 이에 따라 홍띠 대조구식물체 8개체, 활착한 녹색 재분화 식물체 20개체(실내 재배중인 순화체 10개체, 2020년 6개월간 포장에서 재배중인 순화체 10개체)를 대상으로 ISSR분석을 실시하여 재분화식물체의 유전적 안정성을 검토하였다. 향후 조직학적 측면에서 신초재분화의 기원에 대한 검토가 필요하다고 사료된다.

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Solving the Haplotype Assembly Problem for Human Using the Improved Branch and Bound Algorithm (개선된 분기한정 알고리즘을 이용한 인간 유전체의 일배체형 조합문제 해결)

  • Choi, Mun-Ho;Kang, Seung-Ho;Lim, Hyeong-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.10
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    • pp.697-704
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    • 2013
  • The identification of haplotypes, which encode SNPs in a single chromosome, makes it possible to perform haplotype-based association tests with diseases. Minimum Error Correction model, one of models to computationally assemble a pair of haplotypes for a given organism from Single Nucleotide Polymorphism fragments, has been known to be NP-hard even for gapless cases. In the previous work, an improved branch and bound algorithm was suggested and showed that it is more efficient than naive branch and bound algorithm by performing experiments for Apis mellifera (honeybee) data set. In this paper, to show the extensibility of the algorithm to other organisms we apply the improved branch and bound algorithm to the human data set and confirm the efficiency of the algorithm.

An extension of multifactor dimensionality reduction method for detecting gene-gene interactions with the survival time (생존시간과 연관된 유전자 간의 교호작용에 관한 다중차원축소방법의 확장)

  • Oh, Jin Seok;Lee, Seung Yeoun
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.5
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    • pp.1057-1067
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    • 2014
  • Many genetic variants have been identified to be associated with complex diseases such as hypertension, diabetes and cancers throughout genome-wide association studies (GWAS). However, there still exist a serious missing heritability problem since the proportion explained by genetic variants from GWAS is very weak less than 10~15%. Gene-gene interaction study may be helpful to explain the missing heritability because most of complex disease mechanisms are involved with more than one single SNP, which include multiple SNPs or gene-gene interactions. This paper focuses on gene-gene interactions with the survival phenotype by extending the multifactor dimensionality reduction (MDR) method to the accelerated failure time (AFT) model. The standardized residual from AFT model is used as a residual score for classifying multiple geno-types into high and low risk groups and algorithm of MDR is implemented. We call this method AFT-MDR and compares the power of AFT-MDR with those of Surv-MDR and Cox-MDR in simulation studies. Also a real data for leukemia Korean patients is analyzed. It was found that the power of AFT-MDR is greater than that of Surv-MDR and is comparable with that of Cox-MDR, but is very sensitive to the censoring fraction.

A CNV detection algorithm based on statistical analysis of the aligned reads (정렬된 리드의 통계적 분석을 기반으로 하는 CNV 검색 알고리즘)

  • Hong, Sang-Kyoon;Hong, Dong-Wan;Yoon, Jee-Hee;Kim, Baek-Sop;Park, Sang-Hyun
    • The KIPS Transactions:PartD
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    • v.16D no.5
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    • pp.661-672
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    • 2009
  • Recently it was found that various genetic structural variations such as CNV(copy number variation) exist in the human genome, and these variations are closely related with disease susceptibility, reaction to treatment, and genetic characteristics. In this paper we propose a new CNV detection algorithm using millions of short DNA sequences generated by giga-sequencing technology. Our method maps the DNA sequences onto the reference sequence, and obtains the occurrence frequency of each read in the reference sequence. And then it detects the statistically significant regions which are longer than 1Kbp as the candidate CNV regions by analyzing the distribution of the occurrence frequency. To select a proper read alignment method, several methods are employed in our algorithm, and the performances are compared. To verify the superiority of our approach, we performed extensive experiments. The result of simulation experiments (using a reference sequence, build 35 of NCBI) revealed that our approach successfully finds all the CNV regions that have various shapes and arbitrary length (small, intermediate, or large size).

Plant Regeneration and Genetic Diversity of Regenerants from Seed-derived Callus of Reed (Phragmites communis Trinius) (갈대(Phragmites communis Trinius) 성숙종자를 이용한 기내 식물체 재분화와 재분화체의 유전적 다양성)

  • Ryu, Jaihyunk;Kim, En-Hwan;So, Hyun-Su;Chung, Mi-Young;Song, Won-Seob;Bae, Chang-Hyu
    • Korean Journal of Plant Resources
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    • v.26 no.2
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    • pp.320-327
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    • 2013
  • This study was carried out to address an efficient in vitro regeneration system from seed-derived callus of Phragmites communis, and to evaluate genetic variations of the regenerants using ISSR markers. Shoot regeneration via calli was greatly influenced by N6 medium compared with MS medium, and plant regeneration frequency was 90% in N6 supplemented with BA 0.25 mg/L and BA 0.5 mg/L. According to ISSR analysis of the thirty regenerants, out of 94 loci detected overall, 16 were identified to be polymorphic with a rate (PR) of 17.0%. The mean gene diversity (h) of different in vitro condition was 0.03 and ranged from 0.008 for N6 with BA 5 mg/L, to 0.040 for MS with IAA 0.1 mg/L+kinetin 2 mg/L. The results indicate that the regenerants have a low genetic variation, and ISSR analysis is effective to detect genetic variation of regenerants.