BioMercator: integrating genetic maps and QTL towards discovery of candidate genes
BioMercator: integrating genetic maps and QTL towards discovery of candidate genes
复制标题
DOI：
10.1093/bioinformatics/bth230
复制
发表时间：
2004-09-22
期刊：
影响因子：
5.8
通讯作者：
Joets, J
中科院分区：
文献类型：
--
作者：
Arcade, A;Labourdette, A;Joets, J
育种计划面临的挑战是整合来自基因组学和数量性状基因座（QTL）分析的信息，以确定控制重要性状变异的基因组序列。尽管综合数据库的发展，构建基因，QTL和从多个地图收集的其他基因座的共识地图仍然是一个手动和繁琐的任务。然而，这是揭示基因和QTL之间共定位的关键步骤。另一个重要的问题是确定与相同性状或相关性状连锁的QTL是否在独立的实验中被检测到，是否位于同一区域，是否代表一个单一的位点。统计工具，如荟萃分析，可以用来回答这个问题。BioMercator已被开发用于自动化地图编辑和QTL荟萃分析，并通过图形界面可视化基因和QTL之间的协同定位。
Breeding programs face the challenge of integrating information from genomics and from quantitative trait loci (QTL) analysis in order to identify genomic sequences controlling the variation of important traits. Despite the development of integrative databases, building a consensus map of genes, QTL and other loci gathered from multiple maps remains a manual and tedious task. Nevertheless, this is a critical step to reveal co-locations between genes and QTL. Another important matter is to determine whether QTL linked to same traits or related ones is detected in independent experiments and located in the same region, and represents a single locus or not. Statistical tools such as meta-analysis can be used to answer this question. BioMercator has been developed to automate map compilation and QTL meta-analysis, and to visualize co-locations between genes and QTL through a graphical interface.