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Verbalizing phylogenomic conflict: Representation of node congruence across competing reconstructions of the neoavian explosion

机译:语言系统化冲突:新鸟类爆炸的竞争性重建中节点一致性的表示

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Author summary Synthetic platforms for phylogenomic knowledge tend to manage conflict between different evolutionary reconstructions in the following way: "If we do not agree, then it is either our view over yours, or we just collapse all conflicting node concepts into polytomies". We argue that this is not an equitable way to realize synthesis in this domain. For instance, it would not be an adequate solution for building a unified data environment where authors can endorse and yet also reconcile their diverging perspectives, side by side. Hence, we develop a novel system for verbalizing i.e., consistently identifying and aligning incongruent node concepts that reflects a more forward-looking attitude: "We may not agree with you, but nevertheless we understand your phylogenomic inference well enough to express our disagreements in a logic-compatible syntax. We can therefore maximize the translatability of data linked to our diverging phylogenomic hypotheses". We show that achieving phylogenomic synthesis fundamentally depends on the application of trained expert judgment to assert parent node congruence in spite of incongruently sampled children.
机译:作者摘要用于植物遗传学知识的合成平台趋向于通过以下方式处理不同进化重建之间的冲突:“如果我们不同意,那要么是我们对您的看法,要么我们只是将所有冲突的节点概念分解为多义性”。我们认为这不是在此领域实现综合的公平方法。例如,这对于构建一个统一的数据环境不是一个合适的解决方案,在这个数据环境中,作者可以相互认可并协调他们的不同观点。因此,我们开发了一种新颖的语言系统,可以一致地识别和对齐不一致的节点概念,从而反映出更具前瞻性的态度:“我们可能不同意您的观点,但我们足够理解您的系统推断,以表达我们的分歧。逻辑兼容的语法。因此,我们可以最大程度地提高与我们多样化的系统生物学假设有关的数据的可翻译性”。我们表明,实现系统发育综合从根本上取决于训练有素的专家判断来断言父节点全同,尽管抽样儿童的数量不一致。

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