** BANNER **
** BANNER END **
** MAIN **
** MAIN END **
** ADV **
- 대용량 변이 탐색
- Genotyping 및 SNP chip 개발
- MABC 마커 개발
- 집단 분석
- 표현형-유전형 연관분석
** ADV END **
** FUNCTION **
주요 기능 소개
** FUNCTION IMG TABLE **
표현형-유전형 정보 디지털화
- 대용량 변이 탐색
- 표현형, 유전형 정보 디지털화
표현형-유전형 연관분석
- GWAS를 이용한 연관분석
- 기계학습 알고리즘의 ‘Feature selection’ 모듈을 이용한 표현형 연관 중요 마커 탐색
Genotyping
- SNP chip 개발 및 genotyping
- Fluidigm chip genotyping
- Target seq genotyping
** FUNCTION IMG TABLE END **
** FUNCTION END **
** RESEARCH-Ex **
활용 사례
incoASSOCIATION이 연구에서 어떤 역할을 하는지 확인해보세요.
[Article]
- Noh ES, Subramaniyam S, Cho S, Kim Y, Park C, Lee J, Nam B, Shin Y. Genotyping of Haliotis discus hannai and machine learning models to predict the heat resistant phenotype based on genotype. Front Genet. 2023 Mar 31
- Malik A, Subramaniyam S, Kim CB, Manavalan B. SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information. Comput Struct Biotechnol J. 2021 Dec 14;20:165-174. doi: 10.1016/j.csbj.2021.12.014. PMID: 34976319; PMCID: PMC8703055.
- Yu GE, Shin Y, Subramaniyam S, Kang SH, Lee SM, Cho C, Lee SS, Kim CK. Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus. Sci Rep. 2021 Apr 13;11(1):8019. doi: 10.1038/s41598-021-87281-0. PMID: 33850210; PMCID: PMC8044237.
- Seo D, Cho S, Manjula P, Choi N, Kim YK, Koh YJ, Lee SH, Kim HY, Lee JH. Identification of Target Chicken Populations by Machine Learning Models Using the Minimum Number of SNPs. Animals (Basel). 2021 Jan 19;11(1):241. doi:10.3390/ani11010241. PMID: 33477975; PMCID: PMC7835996.
- Kang MJ, Shin AY, Shin Y, Lee SA, Lee HR, Kim TD, Choi M, Koo N, Kim YM, Kyeong D, Subramaniyam S, Park EJ. Identification of transcriptome-wide, nut weight-associated SNPs in Castanea crenata. Sci Rep. 2019 Sep 11;9(1):13161. doi: 10.1038/s41598-019-49618-8. PMID: 31511588; PMCID: PMC6739505.
- Nam BH, Yoo D, Kim YO, Park JY, Shin Y, Shin GH, Park CI, Kim H, Kwak W. Whole genome sequencing reveals the impact of recent artificial selection on red sea bream reared in fish farms. Sci Rep. 2019 Apr 24;9(1):6487. doi: 10.1038/s41598-019-42988-z. Erratum in: Sci Rep. 2020 Jan 28;10(1):1625. PMID: 31019228; PMCID: PMC6482192.
- Oh JH, Lee YJ, Byeon EJ, Kang BC, Kyeoung DS, Kim CK. Whole-genome resequencing and transcriptomic analysis of genes regulating anthocyanin biosynthesis in black rice plants. 3 Biotech. 2018 Feb;8(2):115. doi: 10.1007/s13205-018-1140-3. Epub 2018 Feb 7. PMID: 29430376; PMCID: PMC5801106.
- Seol YJ, Won SY, Shin Y, Lee JY, Chun JS, Kim YK, Kim CK. A Multilayered Screening Method for the Identification of Regulatory Genes in Rice by Agronomic Traits. Evol Bioinform Online. 2016 Nov 2;12:253-262. doi: 10.4137/EBO.S40622. PMID: 27840573; PMCID: PMC5094579.
- Shin Y, Jung HJ, Jung M, Yoo S, Subramaniyam S, Markkandan K, Kang JM, Rai R, Park J, Kim JJ. Discovery of Gene Sources for Economic Traits in Hanwoo by Whole-genome Resequencing. Asian-Australas J Anim Sci. 2016 Sep;29(9):1353-62. doi: 10.5713/ajas.15.0760. Epub 2016 Mar 4. PMID: 26954201; PMCID: PMC5003998.
** RESEARCH-Ex END **