Suppr超能文献

个人基因组解读的生物信息学。

Bioinformatics for personal genome interpretation.

机构信息

Department of Mathematics and Computer Science, University of Balearic Islands, ctra. de Valldemossa Km 7.5, Palma de Mallorca, 07122 Spain.

出版信息

Brief Bioinform. 2012 Jul;13(4):495-512. doi: 10.1093/bib/bbr070. Epub 2012 Jan 13.

Abstract

An international consortium released the first draft sequence of the human genome 10 years ago. Although the analysis of this data has suggested the genetic underpinnings of many diseases, we have not yet been able to fully quantify the relationship between genotype and phenotype. Thus, a major current effort of the scientific community focuses on evaluating individual predispositions to specific phenotypic traits given their genetic backgrounds. Many resources aim to identify and annotate the specific genes responsible for the observed phenotypes. Some of these use intra-species genetic variability as a means for better understanding this relationship. In addition, several online resources are now dedicated to collecting single nucleotide variants and other types of variants, and annotating their functional effects and associations with phenotypic traits. This information has enabled researchers to develop bioinformatics tools to analyze the rapidly increasing amount of newly extracted variation data and to predict the effect of uncharacterized variants. In this work, we review the most important developments in the field--the databases and bioinformatics tools that will be of utmost importance in our concerted effort to interpret the human variome.

摘要

一个国际联合组织在 10 年前公布了人类基因组的第一个草案序列。尽管对这些数据的分析已经揭示了许多疾病的遗传基础,但我们还不能完全量化基因型和表型之间的关系。因此,科学界目前的一项主要工作重点是评估在特定遗传背景下个体对特定表型特征的倾向。许多资源旨在识别和注释负责观察到的表型的特定基因。其中一些使用种内遗传变异作为更好地理解这种关系的一种手段。此外,现在有几个在线资源专门用于收集单核苷酸变异和其他类型的变异,并注释它们的功能效应及其与表型特征的关联。这些信息使研究人员能够开发生物信息学工具来分析新提取的变异数据的快速增长,并预测未表征变异的影响。在这项工作中,我们回顾了该领域最重要的发展——数据库和生物信息学工具,这些将在我们共同努力解释人类变异组中至关重要。

相似文献

1
Bioinformatics for personal genome interpretation.个人基因组解读的生物信息学。
Brief Bioinform. 2012 Jul;13(4):495-512. doi: 10.1093/bib/bbr070. Epub 2012 Jan 13.
7

引用本文的文献

1

本文引用的文献

8
A probabilistic disease-gene finder for personal genomes.个人基因组的概率疾病基因查找器。
Genome Res. 2011 Sep;21(9):1529-42. doi: 10.1101/gr.123158.111. Epub 2011 Jun 23.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验