NCBI launches the Database of Genomic Structural Variations, September 30, 2010 News Release - National Institutes of Health (NIH)
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, National Library of Medicine301-496-6308
NCBI launches the Database of Genomic Structural Variations
A new tool to aid in understanding the genetics of health and disease
The National Institutes of Health today announces the launch of a new resource, called the Database of Genomic Structural Variation, or dbVar, to help scientists understand how differences in DNA contribute to human health and disease.
The database will help track large-scale variations in DNA discovered in healthy individuals as well as those affected with disorders such as autism and cancer. Additionally, dbVar will collect data on a diverse array of organisms, including agriculturally important plants and livestock. The database was developed by the National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM) at NIH.
The human genome is made up of approximately 3 billion base pairs of DNA arranged
into 23 chromosomes. In recent years, scientists have discovered that very
large stretches of the genome & on the order of millions of base pairs
of DNA & can
be different in seemingly normal individuals. It had long been known that such
large-scale genomic changes existed, but it was thought that they were rare
and when present led to known disorders such as Down syndrome. It is now understood
that such variations are relatively common, and while some may be associated
with disorders, others do not have an apparent effect on health. Understanding
how these genomic variations relate to individual characteristics and impact
health is an important and active area of research.
&An enormous volume of data is now coming from studies that investigate genetic variation,& said NCBI Director David Lipman, M.D. &We are excited to be playing a role in this important area of scientific inquiry by making the data widely available to scientists and integrating it with other NLM research tools and the scientific literature.&
dbVar is part of an international collaboration that includes the just-launched Database of Genomic Variants archive (DGVa) at the European Bioinformatics institute (EBI) and the Database of Genomic Variants (DGV) in Toronto. The databases exchange data on a regular basis so that each can provide complete data with their own user interfaces, data analysis tools, and suites of integrated resources.
The databases are described in a correspondence appearing in the October issue of Nature Genetics.
To access dbVar, visit .
NCBI creates public databases in molecular biology, conducts research in computational biology, develops software tools for analyzing molecular and genomic data, and disseminates biomedical information, all for the better understanding of processes affecting human health and disease. NCBI () is a division of the National Library of Medicine (), the world's largest library of the health sciences.
About the National Institutes of Health (NIH): NIH, the nation's medical research agency, includes 27 Institutes and Centers
and is a component of the U.S. Department of Health and Human Services. NIH
is the primary federal agency conducting and supporting basic, clinical, and
translational medical research, and is investigating the causes, treatments,
and cures for both common and rare diseases. For more information about NIH
and its programs, visit .
NIH...Turning Discovery Into Health &
receive future NIH news releases.OpenHelix: Database of Genomic Variants, DGV, catalogs and displays structural variation in the human genome
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Database of Genomic Variants, DGV, catalogs and displays structural variation in the human genomeTutorial and training materials by OpenHelixIntroduction to:DGV: Database of Genomic VariantsLearn to use ,
a curated catalog of structural variation within the human genome. All variation data is from normal non-diseased controls, yet the ramifications of the data go well beyond their role in normal phenotypic variability. Many highly variable regions are extremely important in disease and this field is only in its infancy currently. Copy-number variations, or CNVs, are under active pursuit. DGVs user-friendly format allows you to easily browse variation data in tabular or graphic format organized by chromosome location. Users can search by keywords, chromosome location, genes, sequence and more. Each variation entry has extensive details including where the original data was extracted from, links to many other resources, methodology, study details and the ability to view and manipulate your data using the DGVs GBrowse-based genome browser or UCSC and Ensembl's genome browsers.
Note: A new version of DGV has just launched. We will update this material soon to correspond with the new interface. Many of the concepts will remain the same, and a track of the data from the prior version will be available. For more details, see: .Advertisement:
You'll learn:to browse and search through DGVs structural variant datahow to find, understand and link to more genomic variation detailsto navigate and customize your data using the genome browserhow to perform a BLAT sequence search
CategoriesView additional tutorials for resources in
research articles citing this resourceChang Ta-Yuan et al., Road traffic noise frequency and prevalent hypertension in Taichung, Taiwan: A cross-sectional study -No section-. Environmental Health (2014) Gruel Nad?¨ge et al., Polarity gene alterations in pure invasive micropapillary carcinomas of the breast. Breast Cancer Research (2014) Naseer Imran Muhammad et al., Microarray based comparative genome hybridization detects genomic imbalances deletions and duplications in different epileptic patients of Saudi Arabia Abstracts of the 2nd International Genomic Medical Conference (IGMC 2013) 2nd International Genomic Medical Conference (IGMC 2013). BMC Genomics (2014) Iversen S Edwin et al., Functional annotation signatures of disease susceptibility loci improve SNP association analysis Human and rodent genomics. BMC Genomics (2014) Petersen Britt-Sabina et al., Whole genome and exome sequencing of monozygotic twins discordant for Crohn???s disease Human and rodent genomics. BMC Genomics (2014) More about the resource: is hosted by the Centre for Applied Genomics located at the Hospital for Sick Children in Toronto, Canada. The majority of the structural variant data you find in DGV are Copy Number Variants, or CNVs, due to their prevalence in the human genome, but you also will see inversion and InDel data whenever it is available. The data is structured and clearly organized so that you can navigate to more details using both internal and external links with ease. DGV offers many useful resources, such as a newsletter and mailing list, which can also help to keep you abreast of all the latest DGV developments.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.Copyright 2009, OpenHelix, LLC.
design & development:dbvar是什么意思_百度知道
dbvar是什么意思
只知道是一个数据库，具体是什么就不清楚了，哪位高人给指导一下呗~谢拉~
提问者采纳
#What is 'dbVar'?dbVar is the NCBI database of genomic structural variation. For information on how to navigate dbVar see the dbVar Help page.#How does dbVar differ from the Database of Genomic Variants (DGV)?DGV has been a useful resource for the human genetics community with respect to collecting and curating structural variation data for human. DGV are now working with DGVa to extend service and we are working with DGVa to exchange data. Additionally, DGV only contains data for healthy control human samples, while dbVar accepts data from all species and includes clinical data.#What is ‘structural variation’?Structural variation (SV) is generally defined as any region of DNA involved in inversions and balanced translocations or genomic imbalances (insertions and deletions), commonly referred to as copy number variants (CNVs). For more information see the Overview of Structural Variation page.#What types of structural variation data does dbVar accept?dbVar is a structural variation database designed to store data on variant DNA ≥ 1 bp in size. Single Nucleotide Polymorphism (SNP) data should be submitted to dbSNP.＃什么是'dbVar'？dbVar是基因组结构变异NCBI数据库。有关如何导航dbVar看到dbVar帮助页的信息。＃如何dbVar不同于基因组变异数据库（DGV）？DGV就一直为社会人类遗传学有用的资源收集和策划人的结构变化的数据。 DGV正与DGVa延长服务，我们与DGVa合作，交换数据。此外，DGV只包含人类健康对照样本数据，而dbVar接受来自所有物种的数据，包括临床资料。＃什么是'结构变异'？结构变异（SV）的一般定义为任何的DNA和平衡易位或倒位（插入和删除）基因不平衡有关区域，通常被称为拷贝数变异（CNVs中）。欲了解更多信息，请参阅结构变化网页概述。＃什么样的结构变化的数据类型有dbVar接受吗？dbVar是一个结构性的变化存储在数据库设计的大小变异的DNA≥1基点数据。单核苷酸多态性（SNP）的数据应提交dbSNP。
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