The eQTL-seq scaled down the major seed weight QTLs/eQTLs into the potential candidate gene(s) governing cis- and trans-regulated expression to decipher the gene regulatory modules controlling complex quantitative seed weight trait by deriving global allele-specific gene expression polymorphism in chick...
那当然是scRNA-seq+eQTL+GWAS的组合啦!eQTL指的是染色体上一些能特定调控mRNA和蛋白质表达水平的区域,其mRNA/蛋白质的表达水平与数量性状成比例关系。其具体原理是把基因表达量作为一种数量性状,研究遗传突变与基因表达的相关性。目前,eQTL还是非常吃香的!但是人类各种组织之间细胞的类型,状态和相互作用差异巨大。而单...
eQTLsingle 是一个独特而强大的工具,可以利用大量的 scRNA-seq 资源进行单细胞 eQTL 研究。 eQTLsingle has two modes. Cleaned-data mode: take input as SNV matrix and expression matrix from single cells. If you have had SNV and expression information of the same cell before, you can use this mod...
(2013) eQTL mapping using RNA-seq data. Stat. Biosci., 5, 198-219Sun W, Hu Y (2013) Eqtl mapping using Rna-Seq data. Stat Biosci 5:198-219Sun W, Hu Y. eQTL Mapping Using RNA-seq Data. Stat Biosci. 2013; 5(1):198-219....
SCS【32】基于scRNA-seq数据中推断单细胞的eQTLs (eQTLsingle)https://mp.weixin.qq.com/s/TDqg6kfX0E64T21MVmaioQ关注桓峰基因公众号,获得更多学习资源!桓峰基因推出全新生信分析文字版和视频版免费教程,欢迎大家来围观,在公众号搜索即可获得相关教程!有测序,生信分
常见基因组功能数据介绍 | 表观注释 | DNase-seq | ChIP-Seq | ATAC-Seq | eQTL | ENCODE | ROADMAP,functionalgenomics|epigenomicannotations刚入行的总是一头雾水,对这些表观的标记一点兴趣都没有,种类繁多,总是记不住,这里我就做一个常识性的总结,不搞太多术语。
RNA-Sequencing (RNA-Seq) experiments have been optimized for library preparation, mapping, and gene expression estimation. These methods, however, have revealed weaknesses in the next stages of analysis of differential expression, with results sensitive
http://eqtl.brainseq.org/ 项目旨在描述主要神经精神疾病和对照样本中不同脑区域转录的多个方面的遗传和表观遗传调控特征。该联盟最初专注于精神分裂症和情绪障碍,其目标是阐明遗传关联的潜在分子机制,以确定新的治疗靶点。 该联盟目前由7家制药公司和一家非盈利医疗研究机构组成。
gene (cis-eQTL). Most probably through a polymorphism in the promoter region, which in turn gives rise to differential expression. In contrast, eQTL that do not map to the location of the gene being assayed, such as forFaFAH1,most likely represent trans-acting regulators (trans-eQTL) that ...
Mapping expression quantitative trait loci (eQTL) provides insight into gene expression regulation. When RNA-Seq data is used to fit eQTL, proper statistical analysis requires addressing issues such as: (1) Shrinking variance component estimates to increase power of eQTL detection in small samples, ...