JPhyloRef: a tool for testing and resolving phyloreferences

Author:

Vaidya GauravORCID,Cellinese NicoORCID,Lapp HilmarORCID

Publisher

The Open Journal

Reference9 articles.

1. Phyloreferences: Tree-Native, Reproducible, and Machine-Interpretable Taxon Concepts, Cellinese, Nico and Conix, Stijn and Lapp, Hilmar, Evolutionary and organismal biology, similar to other fields in biology, have become inundated with data. At the same rate, we are experiencing a surge in broader evolutionary and ecological syntheses for which tree-thinking is the staple for a variety of post-tree analyses. To fully take advantage of this wealth of data to discover and understand large-scale evolutionary and ecological patterns, computational data integration, i.e. the use of machines to link data at large scale by shared entities, is crucial. The most common shared entity by which evolutionary and ecological data need to be linked is the taxon to which they belong. In this paper, we propose a set of requirements that a system for defining such taxa should meet for computational data science: taxon definitions should maintain conceptual consistency, be reproducible via a known algorithm, be computationally automatable, and be applicable across the tree of life. We argue that Linnaean names based in Linnaean taxonomy, by far the most prevalent means of linking data to taxa, fail to meet these requirements due to fundamental theoretical and practical shortfalls. We argue that for the purposes of data-integration we should instead use phylogenetic clade definitions transformed into formal logic expressions. We call such expressions phyloreferences, and argue that, unlike Linnaean names, they meet all requirements for effective data-integration., Philosophy, Theory and Practice in Biology, 2021, Accepted. Preprint available on EcoEvoRxiv at https://doi.org/10.32942/osf.io/57yjs

2. Phylogenetic Taxonomy

3. Phylogenetic definitions and taxonomic philosophy

4. Phylogeny as a Central Principle in Taxonomy: Phylogenetic Definitions of Taxon Names

5. The Incredible ELK

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3