表观遗传学
生物
掷骰子
电池类型
数据库
计算生物学
基因
表达数量性状基因座
基因表达
细胞
计算机科学
遗传学
单核苷酸多态性
基因型
DNA甲基化
几何学
数学
作者
Brendan Ha,Jason Greenbaum,Benjamin J Shmiedel,Divya Singh,Ariel Madrigal,Alan G Valdovino-Gonzalez,Brandie White,Jose Zapardiel‐Gonzalo,Gökmen Altay,Graham McVicker,Grégory Seumois,Anjana Rao,Mitchell Kronenberg,Pandurangan Vijayanand,Bjoern Peters
出处
期刊:Journal of Immunology
[American Association of Immunologists]
日期:2019-05-01
卷期号:202 (1_Supplement): 131.18-131.18
被引量:7
标识
DOI:10.4049/jimmunol.202.supp.131.18
摘要
Abstract Database of Immune Cell EQTLs, Expression, Epigenomics (DICE, dice-database.org) is a freely accessible web resource for diving deep into RNA-seq data across 13 human immune cell type (subsets of T cells, B cells, monocytes and NK cells), in a cohort of 91 healthy, genotyped donors 1. The site is composed of four main modules that allow users to view the integrated data by gene, limit the scope to individual cell types, compare expression across cell types, and explore the effect of SNPs on gene expression. The site is optimized to be accessible on both desktop and mobile devices. DICE is an evolving resource with data for additional cell types being deposited on a continuous basis, with 3 additional B cell subsets being next in line. In addition to the core database website, an associated tools website (tools.dice-database.org) is actively being developed and currently hosts tools that operate on lists of genes to perform interactive GO enrichment analysis (GOnet), identify cell types most likely responsible for expression of a set of genes (CellTypeScorer), and examine GeneNetworks deduced from gene co-expression analysis.
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