University of Queensland, Australian Centre for Plant Functional Genomics, School of Land, Crop and Food Sciences, Brisbane, Australia.
Genome. 2010 Nov;53(11):1017-23. doi: 10.1139/G10-057.
Association mapping currently relies on the identification of genetic markers. Several technologies have been adopted for genetic marker analysis, with single nucleotide polymorphisms (SNPs) being the most popular where a reasonable quantity of genome sequence data are available. We describe several tools we have developed for the discovery, annotation, and visualization of molecular markers for association mapping. These include autoSNPdb for SNP discovery from assembled sequence data; TAGdb for the identification of gene specific paired read Illumina GAII data; CMap3D for the comparison of mapped genetic and physical markers; and BAC and Gene Annotator for the online annotation of genes and genomic sequences.
关联映射目前依赖于遗传标记的识别。已经采用了几种技术进行遗传标记分析，在有合理数量的基因组序列数据可用的情况下，单核苷酸多态性 (SNP) 是最受欢迎的。我们描述了我们为关联映射的分子标记的发现、注释和可视化而开发的几种工具。这些工具包括 autoSNPdb，用于从组装的序列数据中发现 SNP；TAGdb，用于识别基因特异的配对读取 Illumina GAII 数据；CMap3D，用于比较映射的遗传和物理标记；以及 BAC 和 Gene Annotator，用于基因和基因组序列的在线注释。
