Collaborative Research: ABI Sustaining: The National Center for Genome Analysis Support
Collaborative Research: ABI Sustaining: The National Center for Genome Analysis Support
批准号:
1759906
负责人:
Sheri Sanders
金额:
$96.26万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2021-12-31
中文摘要
基因组研究是理解生命的变异性、生物功能、种群动态以及生物体如何对外界影响作出反应的关键和快速增长的组成部分。基因组学从本质上提高了我们研究生物动力学和做出重要发现的能力,这些发现是理解环境变化、发展和保护作物以及改善健康结果等主题的基础。然而,基因组分析对执业生物学家来说可能是一个巨大的挑战。许多需要从事基因组科学的生物学家对相关的分析工具或从测序仪产生的初始数据到具有生物意义的分析结果所需的复杂工作流程不够熟练。此外,许多人无法获得处理和管理基因组数据所需的先进计算和大规模存储资源。国家基因组分析支持中心(NCGAS)通过提供综合服务来应对这些挑战,该服务包括专家生物信息学咨询和教育服务、通过易于使用的基于网络的工作流程管理工具、先进的计算系统以及大规模数据存储和发布设施提供的经过强化和优化的软件。NCGAS服务对于来自较小机构和其他自身资源有限的团体的研究人员的重要贡献尤为重要。NCGAS通过以下目标完成其使命,使美国生物研究界能够分析、理解和利用现有的大量基因组信息:为在转录组和基因组水平组装领域进行研究的生物学家提供优秀的生物信息学咨询服务;在国家网络基础设施(CI)系统上提供基因组组装和分析软件,并提供下载和安装在校园CI资源上的工具;提供关于基因组分析的培训、教育和推广计划;提高生物信息学软件的质量和功能;支持使用专为支持基因组分析而设计的大内存计算集群;并提供存储和分发基因组研究数据和产品的机制。这些努力将促进和加速利用NCGAS服务的研究人员的科学发现,降低科学家创建、执行、记录和共享基因组分析的门槛,帮助识别同类最佳的基因组分析软件并向社区提供这些软件的改进版本,提高执业科学家的技术素养,并帮助发展生物信息学劳动力。该项目的结果将在https://ncgas.org上公布,https://github.com/NCGAS.This奖项反映了国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The study of genomes is a critical and rapidly growing component in understanding the variability of life, biological functions, population dynamics, and how organisms respond to external influences. Genomics has qualitatively improved our ability to investigate biological dynamics and to make important discoveries that are the foundations for understanding topics such as environmental change, developing and protecting crops, and improving health outcomes. Genome analysis, however, can be a significant challenge for the practicing biologist. Many biologists who need to undertake genome science are not sufficiently expert in the relevant analytical tools, or the complex workflows required to get from the initial data generated by sequencers to a biologically-meaningful analyzed result. In addition, many do not have access to the advanced computing and large-scale storage resources required for processing and managing genomics data. The National Center for Genome Analysis Support (NCGAS) addresses these challenges by providing an integrated service comprised of expert bioinformatics consulting and educational services, hardened and optimized software available through easy-to-use web-based workflow management tools, advanced computing systems, and large scale data storage and publishing facilities. NCGAS services are particularly important in enabling important contributions from researchers from smaller institutions and other groups with limited access to their own resources.NCGAS works through the following goals to fulfill its mission to enable the biological research community of the US to analyze, understand, and make use of the vast amount of genomic information now available: provide excellent bioinformatics consulting services to biologists doing research in the areas of transcriptome- and genome-level assembly; deliver genome assembly and analysis software on national cyberinfrastructure (CI) systems and provide tools for download and installation on campus CI resources; provide training, education, and outreach programs on genome analysis; improve the quality and functionality of bioinformatics software; enable the use of large-memory compute clusters designed specifically to support genome analysis; and provide mechanisms to store and distribute genome research data and products. These efforts will enable and accelerate scientific discoveries by researchers who make use of NCGAS services, lower barriers for scientists to create, execute, document, and share genomics analyses, help identify best-in-class genomics analysis software and provide improved versions of these software to the community, enhance the technology literacy of practicing scientists, and help grow the bioinformatics workforce. Outcomes of this project will be made available at https://ncgas.org and https://github.com/NCGAS.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(67)
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DOI:
10.1093/gbe/evy012
发表时间:
2018-02-01
期刊:
Genome biology and evolution
影响因子:
3.3
作者:
[Lindsey ARI, Rice DW, Bordenstein SR, Brooks AW, Bordenstein SR, Newton ILG]
通讯作者:
Newton ILG
DOI:
10.1007/s11103-020-01014-x
发表时间:
2020-05
期刊:
Plant Molecular Biology
影响因子:
5.1
作者:
[M. Roulet;L. E. Garcia;C. Gandini;Héctor A Sato;Gabriela Ponce;M. V. Sanchez-Puerta]
通讯作者:
M. Roulet;L. E. Garcia;C. Gandini;Héctor A Sato;Gabriela Ponce;M. V. Sanchez-Puerta
DOI:
10.1128/aem.00307-15
发表时间:
2015-02
期刊:
Applied and Environmental Microbiology
影响因子:
4.4
作者:
[D. Tarpy;H. Mattila;Irene L. G. Newton]
通讯作者:
D. Tarpy;H. Mattila;Irene L. G. Newton
DOI:
10.1534/genetics.116.190611
发表时间:
2017-05-01
期刊:
GENETICS
影响因子:
3.3
作者:
[Lynch, Michael, Gutenkunst, Ryan, Jia, Zhiyuan]
通讯作者:
Jia, Zhiyuan
DOI:
10.1534/genetics.114.165514
发表时间:
2014-08-01
期刊:
GENETICS
影响因子:
3.3
作者:
[Maruki,Takahiro, Lynch,Michael]
通讯作者:
Lynch,Michael
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