Collaborative Research: Arbor: Comparative Analysis Workflows for the Tree of Life

合作研究：Arbor：生命之树的比较分析工作流程

基本信息

批准号：
1622398
负责人：
Robert Thacker
金额：
$ 14.51万
依托单位：
SUNY at Stony Brook
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-01-01 至 2017-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1622398&HistoricalAwards=false
关键词：
Collaborative Research Arbor Comparative Analysis

项目摘要

Our understanding of the tree of life, a tree that summarizes the evolutionary relationships of living organisms, has grown rapidly in recent years. However, interpreting and analyzing large evolutionary trees has proven difficult. This project will create visual workflow software, "Arbor", to help scientists and the general public understand the growing tree of life. Arbor will be easy to use: anyone will be able to carry out analyses by creating a specific workflow of their methods. Users will be able to easily obtain data over the internet and share their Arbor workflows with others, promoting collaborative efforts. Finally, Arbor will be easily expandable and able to grow as new methods are invented.Arbor will enable "tree-thinking" to permeate scientific research, while also providing extensive educational outreach to classrooms and museums. Students and the general public benefit tremendously from a better understanding of the relationships among all species. Likewise, the visual workflows and user interfaces we develop will be freely available to the programming community, stimulating additional software development. Finally, enabling the scientific community to analyze the dynamic tree of life will enable new research across a tremendous range of fields, including medicine, public health, agriculture, ecology, and genetics.

近年来，我们对生命之树（一棵总结生物体进化关系的树）的理解迅速增长。然而，解释和分析大型进化树已被证明是困难的。该项目将创建可视化工作流程软件“Arbor”，帮助科学家和公众了解正在生长的生命之树。 Arbor 将易于使用：任何人都可以通过创建其方法的特定工作流程来进行分析。用户将能够轻松地通过互联网获取数据并与其他人共享他们的 Arbor 工作流程，从而促进协作。最后，Arbor 将很容易扩展，并且能够随着新方法的发明而发展。Arbor 将使“树思维”渗透到科学研究中，同时还为教室和博物馆提供广泛的教育推广。学生和公众可以从更好地了解所有物种之间的关系中受益匪浅。同样，我们开发的可视化工作流程和用户界面将免费提供给编程社区，从而刺激更多的软件开发。最后，使科学界能够分析动态生命树将使新研究能够跨越众多领域，包括医学、公共卫生、农业、生态和遗传学。