Building Bridges from Genome to Physiology Using Machine Learning and <i>Drosophila</i> Experimental Evolution-Reference-Cited by-同舟云学术

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Building Bridges from Genome to Physiology Using Machine Learning and Drosophila Experimental Evolution

Published:2023-05-01 Issue:3 Volume:96 Page:192-205
ISSN:1522-2152
Container-title:Physiological and Biochemical Zoology
language:en
Short-container-title:Physiological and Biochemical Zoology

Author:

Kezos James N.,Barter Thomas T.,Phillips Mark A.,Cabral Larry G.,Greenspan Zachary S.,Arnold Kenneth R.,Azatian Grigor,Buenrostro José,Bhangoo Punjot S.,Khong Annie,Reyes Gabriel T.,Rahman Adil,Humphrey Laura A.,Bradley Timothy J.,Mueller Laurence D.,Rose Michael R.

Publisher

University of Chicago Press

Subject

Animal Science and Zoology,Biochemistry,Physiology

Link

https://www.journals.uchicago.edu/doi/pdf/10.1086/724827

Reference58 articles.

1. Using Experimental Evolution to Study the Physiological Mechanisms of Desiccation Resistance inDrosophila melanogaster

2. The Power to Detect Quantitative Trait Loci Using Resequenced, Experimentally Evolved Populations of Diploid, Sexual Organisms

3. Rapid divergence and convergence of life‐history in experimentally evolved Drosophila melanogaster

4. Genome-wide analysis of a long-term evolution experiment with Drosophila

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

1. Selection for early reproduction leads to accelerated aging and extensive metabolic remodeling inDrosophila melanogasterpopulations;2024-07-02

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