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CIBR:Accelerating the discovery and utility of the timescale of life

CIBR：加速生命时间尺度的发现和利用

基本信息

批准号：
1932765
负责人：
Stephen Hedges
金额：
$ 132.52万
依托单位：
Temple University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-02-01 至 2024-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1932765&HistoricalAwards=false
关键词：
CIBR Accelerating discovery utility timescale

项目摘要

Scientists require an accurate timescale for the tree of life to calculate rates of change in genomes and to better understand the evolution of biological systems, ecosystems, and life overall. The timescale comes from genome information assembled and compared among individuals and species. However, information on the timescale of time is scattered among thousands of articles in the scientific literature in a form that is difficult to retrieve. The TimeTree project overcomes this problem by collecting and synthesizing this information into a computational database accessible to scientists and the public. Users may obtain timetrees (trees calibrated to time) of any group, or of a custom list of species. They may also obtain a timeline showing evolutionary branches from the perspective of any selected species, going back in time to the origin of life. Events in geological and astronomical history are synchronized in the same timescale with biological timetrees and timelines, facilitating cross-disciplinary discovery. Ongoing advances in TimeTree expand on this theme by serving study data, allowing data mining by researchers, and facilitating its use as a public and educational resource.The new TimeTree resource brings the fast-growing knowledge on species divergence times to researchers and the public through major technology and data expansion. This ensures access to the most up-to-date information on divergence times of species, subspecies, and populations. The expansion is accomplished with new tools and application programming interfaces to facilitate data mining, allowing comparisons among study timetrees and the synthetic timetree of life. Research exploration is facilitated by conducting common analyses in-house, such as lineages-through-time plots and diversification analyses, so that researchers may immediately see the results for any group. Maintenance costs are minimized, and sustainability is improved with new software and application programming interfaces, automating the data submission and assimilation process, and making TimeTree a sustainable community-contributed resource. TimeTree (www.timetree.org) enables researchers worldwide to query, retrieve, visualize, and explore patterns and formulate hypotheses, and improves scientific and societal return on the collective investment in evolutionary research.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.

科学家们需要一个准确的时间刻度来计算基因组的变化率，并更好地了解生物系统、生态系统和整个生命的进化。时间尺度来自收集的基因组信息，并在个体和物种之间进行比较。然而，有关时间尺度的信息以一种难以检索的形式散布在科学文献的数千篇文章中。TimeTree项目通过收集这些信息并将其合成到科学家和公众可访问的计算数据库中来克服这一问题。用户可以获得任何群体或定制物种清单的时间表(按时间校准的树)。他们还可能获得一个时间表，显示从任何选定物种的角度来看的进化分支，追溯到生命的起源。地质学和天文学历史上的事件与生物学时间表和时间线在同一时间尺度上同步，促进了跨学科的发现。TimeTree通过提供研究数据，允许研究人员进行数据挖掘，并促进其作为公共和教育资源的使用，扩展了这一主题。新的TimeTree资源通过主要技术和数据扩展，将快速增长的物种分化时间知识带给研究人员和公众。这确保了获得有关物种、亚种和种群分化时间的最新信息。扩展是通过新的工具和应用程序编程接口来实现的，以促进数据挖掘，允许在学习时间表和综合生活时间表之间进行比较。通过在内部进行常见的分析来促进研究探索，例如通过时间的谱系曲线图和多样化分析，以便研究人员可以立即看到任何群体的结果。通过新的软件和应用程序编程接口，使数据提交和同化过程自动化，并使TimeTree成为社区贡献的可持续资源，最大限度地降低了维护成本，提高了可持续性。Timetree(www.timetree.org)使世界各地的研究人员能够查询、检索、可视化和探索模式并制定假设，并提高进化研究集体投资的科学和社会回报。该奖项反映了NSF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。