Bioinformatics RIG and\u00a0Indonesian Center for Agricultural Biotechnology & Genetic Resources has been collaborate in developing “Data Management and Analysis System for Genetic Association Studies of Rice<\/b>“. The system has brought as much as 1536 – associated SNP genotyping with phenotyping associations related to the character of the age and yield components. It also includes 384-related SNPs identification and development of identity-based selection system varieties or germplasm. Associated with the 384 – SNP, at IRRI was utilized for the identification and tracing of rice crosses of Indica-Indica , Japonica-Japonica and Indica-Japonica . Meanwhile in BB Biogen , the selection \/ filtering 1536-SNP scattered in 12 chromosome.<\/p>\n
This web-based system is also equipped with a data dictionary , which includes : SNP map , sample map, the final report and phenotype. SNP map contains the genetic information of the markers that have been used, namely 1536-SNP and 384-SNP. Some information related SNP map is : SNP ID, chromosome, genetic position in the rice genome and gene train . Sample map contains information about the total germplasm accessions were used , namely 467 and 288 accessions. Some information related to the sample folder is : no.index , ID germplasm , genetic background and sentrix position . Final report contains profile information genotype \/ DNA fingerprinting 467 and 288 germplasm accessions of rice by 1536- SNP and 384- SNP. Phenotype contains phenotypes information profile of 467 and 288 accessions of rice germplasm for morphological characters and yield components.<\/p>\n
This research is funded by the Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development, Indonesian Agency for Agricultural Research and Development, Ministry of Agriculture, Indonesia (2012-2014).<\/p>\n","protected":false},"excerpt":{"rendered":"
Bioinformatics RIG and\u00a0Indonesian Center for Agricultural Biotechnology & Genetic Resources has been collaborate in developing “Data Management and Analysis System for Genetic Association Studies of Rice“. The system has brought as much as 1536 – associated SNP genotyping with phenotyping associations related to the character of the age and yield components. It also includes 384-related […]<\/p>\n","protected":false},"author":7,"featured_media":3708,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-351","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/351","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/comments?post=351"}],"version-history":[{"count":2,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/351\/revisions"}],"predecessor-version":[{"id":616,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/351\/revisions\/616"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media\/3708"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media?parent=351"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/categories?post=351"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/tags?post=351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}