Accessing and applying molecular history
Author and article information
Abstract
Studying the evolutionary history of life’s molecules - DNA, RNA, and protein - reveals nature-based solutions to real-world problems. We discuss an approach to applied molecular evolution that is well-known within the field but may be unfamiliar to a wider audience. Using a case study at the intersection of molecular evolution and medicine, we introduce the fundamental concepts of orthology and paralogy. We also explain a practical entry point to molecular evolution named STORI: Selectable Taxon Ortholog Retrieval Iteratively. STORI is a machine learning algorithm designed to clear a bottleneck that researchers encounter when studying evolution.
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2015. Accessing and applying molecular history. PeerJ PrePrints 3:e1293v1 https://doi.org/10.7287/peerj.preprints.1293v1Author comment
This is the first version of a preprint. This is a preprint submission to PeerJ.
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Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Joshua G Stern conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.
Eric A Gaucher contributed reagents/materials/analysis tools, reviewed drafts of the paper, provided advice and supervision.
Data Deposition
The following information was supplied regarding the deposition of related data:
https://github.com/jgstern/STORI_singlenode
Funding
Funding from the National Aeronautics and Space Administration’s Astrobiology Institute (E.A.G), the Georgia Institute of Technology Presidential Fellowship, and NASA’s Earth and Space Science Fellowship (grant NNX10AT21H; J.G.S) supported STORI development. This work used the Georgia Institute of Technology’s Partnership for an Advanced Computing Environment (PACE), and the National Science Foundation’s Extreme Science and Engineering Discovery Environment (XSEDE TG-MCB120032). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
