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AnnotQTL:一个用于获取基因组区域功能和比较信息的新工具。

AnnotQTL: a new tool to gather functional and comparative information on a genomic region.

机构信息

INRA, UMR598 Génétique Animale, F-35000 Rennes, France.

出版信息

Nucleic Acids Res. 2011 Jul;39(Web Server issue):W328-33. doi: 10.1093/nar/gkr361. Epub 2011 May 19.

DOI:10.1093/nar/gkr361
PMID:21596783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3125768/
Abstract

AnnotQTL is a web tool designed to aggregate functional annotations from different prominent web sites by minimizing the redundancy of information. Although thousands of QTL regions have been identified in livestock species, most of them are large and contain many genes. This tool was therefore designed to assist the characterization of genes in a QTL interval region as a step towards selecting the best candidate genes. It localizes the gene to a specific region (using NCBI and Ensembl data) and adds the functional annotations available from other databases (Gene Ontology, Mammalian Phenotype, HGNC and Pubmed). Both human genome and mouse genome can be aligned with the studied region to detect synteny and segment conservation, which is useful for running inter-species comparisons of QTL locations. Finally, custom marker lists can be included in the results display to select the genes that are closest to your most significant markers. We use examples to demonstrate that in just a couple of hours, AnnotQTL is able to identify all the genes located in regions identified by a full genome scan, with some highlighted based on both location and function, thus considerably increasing the chances of finding good candidate genes. AnnotQTL is available at http://annotqtl.genouest.org.

摘要

AnnotQTL 是一个网络工具,旨在通过最小化信息冗余,从不同知名网站聚合功能注释。尽管在牲畜物种中已经鉴定出数千个 QTL 区域,但大多数都是大型的,包含许多基因。因此,该工具旨在协助对 QTL 区间内的基因进行特征描述,作为选择最佳候选基因的一个步骤。它将基因定位到特定区域(使用 NCBI 和 Ensembl 数据),并添加来自其他数据库(基因本体论、哺乳动物表型、HGNC 和 Pubmed)的功能注释。可以将人类基因组和老鼠基因组与研究区域进行比对,以检测同线性和片段保守性,这对于运行 QTL 位置的种间比较非常有用。最后,可以在结果显示中包含自定义标记列表,以选择最接近您最重要标记的基因。我们使用示例来说明,仅在几个小时内,AnnotQTL 就能够识别出全基因组扫描所确定的所有位于区域内的基因,并根据位置和功能突出显示一些基因,从而大大增加了找到良好候选基因的机会。AnnotQTL 可在 http://annotqtl.genouest.org 上使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cda/3125768/06ce2852f4f7/gkr361f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cda/3125768/6323bd383c1c/gkr361f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cda/3125768/06ce2852f4f7/gkr361f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cda/3125768/6323bd383c1c/gkr361f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cda/3125768/06ce2852f4f7/gkr361f2.jpg

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利用 SNP 进行全基因组区间作图鉴定出脂肪型和瘦肉型鸡 F2 杂交群体中生长、体组成和几种生理变量的新 QTL。
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